#1962: merge dev into branch + fix minor diffs + ensure that imports pull from src

This commit is contained in:
Czar.Echavez
2023-11-08 10:36:47 +00:00
201 changed files with 4799 additions and 16458 deletions

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@@ -1,170 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
- itemType: ACTIONS
type: NODE
- itemType: STEPS
steps: 128
- itemType: PORTS
portsList:
- port: '80'
- itemType: SERVICES
serviceList:
- name: TCP
- itemType: NODE
id: '1'
name: PC1
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.2
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '2'
name: SERVER
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.3
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '3'
name: PC2
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.4
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '4'
name: SWITCH1
baseType: ACTIVE
nodeType: SWITCH
priority: P2
hardwareState: 'ON'
ipAddress: 192.168.1.5
softwareState: GOOD
fileSystemState: GOOD
- itemType: NODE
id: '5'
name: SWITCH2
baseType: ACTIVE
nodeType: SWITCH
priority: P2
hardwareState: 'ON'
ipAddress: 192.168.1.6
softwareState: GOOD
fileSystemState: GOOD
- itemType: NODE
id: '6'
name: SWITCH3
baseType: ACTIVE
nodeType: SWITCH
priority: P2
hardwareState: 'ON'
ipAddress: 192.168.1.7
softwareState: GOOD
fileSystemState: GOOD
- itemType: LINK
id: '7'
name: link1
bandwidth: 1000000000
source: '1'
destination: '4'
- itemType: LINK
id: '8'
name: link2
bandwidth: 1000000000
source: '4'
destination: '2'
- itemType: LINK
id: '9'
name: link3
bandwidth: 1000000000
source: '2'
destination: '5'
- itemType: LINK
id: '10'
name: link4
bandwidth: 1000000000
source: '2'
destination: '6'
- itemType: LINK
id: '11'
name: link5
bandwidth: 1000000000
source: '5'
destination: '3'
- itemType: LINK
id: '12'
name: link6
bandwidth: 1000000000
source: '6'
destination: '3'
- itemType: GREEN_IER
id: '13'
startStep: 1
endStep: 128
load: 100000
protocol: TCP
port: '80'
source: '3'
destination: '2'
missionCriticality: 5
- itemType: RED_POL
id: '14'
startStep: 50
endStep: 50
targetNodeId: '1'
initiator: DIRECT
type: SERVICE
protocol: TCP
state: COMPROMISED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- itemType: RED_IER
id: '15'
startStep: 60
endStep: 100
load: 1000000
protocol: TCP
port: '80'
source: '1'
destination: '2'
missionCriticality: 0
- itemType: RED_POL
id: '16'
startStep: 80
endStep: 80
targetNodeId: '2'
initiator: IER
type: SERVICE
protocol: TCP
state: COMPROMISED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- itemType: ACL_RULE
id: '17'
permission: ALLOW
source: ANY
destination: ANY
protocol: ANY
port: ANY

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@@ -1,362 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
- itemType: ACTIONS
type: NODE
- itemType: STEPS
steps: 128
- itemType: PORTS
portsList:
- port: '80'
- itemType: SERVICES
serviceList:
- name: TCP
- itemType: NODE
id: '1'
name: PC1
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.10.11
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '2'
name: PC2
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.10.12
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '3'
name: PC3
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.10.13
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '4'
name: PC4
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.20.14
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '5'
name: SWITCH1
baseType: ACTIVE
nodeType: SWITCH
priority: P2
hardwareState: 'ON'
ipAddress: 192.168.1.2
softwareState: GOOD
fileSystemState: GOOD
- itemType: NODE
id: '6'
name: IDS
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.4
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '7'
name: SWITCH2
baseType: ACTIVE
nodeType: SWITCH
priority: P2
hardwareState: 'ON'
ipAddress: 192.168.1.3
softwareState: GOOD
fileSystemState: GOOD
- itemType: NODE
id: '8'
name: LOP1
baseType: SERVICE
nodeType: LOP
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.12
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '9'
name: SERVER1
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.10.14
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '10'
name: SERVER2
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.20.15
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: LINK
id: '11'
name: link1
bandwidth: 1000000000
source: '1'
destination: '5'
- itemType: LINK
id: '12'
name: link2
bandwidth: 1000000000
source: '2'
destination: '5'
- itemType: LINK
id: '13'
name: link3
bandwidth: 1000000000
source: '3'
destination: '5'
- itemType: LINK
id: '14'
name: link4
bandwidth: 1000000000
source: '4'
destination: '5'
- itemType: LINK
id: '15'
name: link5
bandwidth: 1000000000
source: '5'
destination: '6'
- itemType: LINK
id: '16'
name: link6
bandwidth: 1000000000
source: '5'
destination: '8'
- itemType: LINK
id: '17'
name: link7
bandwidth: 1000000000
source: '6'
destination: '7'
- itemType: LINK
id: '18'
name: link8
bandwidth: 1000000000
source: '8'
destination: '7'
- itemType: LINK
id: '19'
name: link9
bandwidth: 1000000000
source: '7'
destination: '9'
- itemType: LINK
id: '20'
name: link10
bandwidth: 1000000000
source: '7'
destination: '10'
- itemType: GREEN_IER
id: '21'
startStep: 1
endStep: 128
load: 100000
protocol: TCP
port: '80'
source: '1'
destination: '9'
missionCriticality: 2
- itemType: GREEN_IER
id: '22'
startStep: 1
endStep: 128
load: 100000
protocol: TCP
port: '80'
source: '2'
destination: '9'
missionCriticality: 2
- itemType: GREEN_IER
id: '23'
startStep: 1
endStep: 128
load: 100000
protocol: TCP
port: '80'
source: '9'
destination: '3'
missionCriticality: 5
- itemType: GREEN_IER
id: '24'
startStep: 1
endStep: 128
load: 100000
protocol: TCP
port: '80'
source: '4'
destination: '10'
missionCriticality: 2
- itemType: ACL_RULE
id: '25'
permission: ALLOW
source: 192.168.10.11
destination: 192.168.10.14
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '26'
permission: ALLOW
source: 192.168.10.12
destination: 192.168.10.14
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '27'
permission: ALLOW
source: 192.168.10.13
destination: 192.168.10.14
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '28'
permission: ALLOW
source: 192.168.20.14
destination: 192.168.20.15
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '29'
permission: ALLOW
source: 192.168.10.14
destination: 192.168.10.13
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '30'
permission: DENY
source: 192.168.10.11
destination: 192.168.20.15
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '31'
permission: DENY
source: 192.168.10.12
destination: 192.168.20.15
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '32'
permission: DENY
source: 192.168.10.13
destination: 192.168.20.15
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '33'
permission: DENY
source: 192.168.20.14
destination: 192.168.10.14
protocol: TCP
port: 80
- itemType: RED_POL
id: '34'
startStep: 20
endStep: 20
targetNodeId: '1'
initiator: DIRECT
type: SERVICE
protocol: TCP
state: COMPROMISED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- itemType: RED_POL
id: '35'
startStep: 20
endStep: 20
targetNodeId: '2'
initiator: DIRECT
type: SERVICE
protocol: TCP
state: COMPROMISED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- itemType: RED_IER
id: '36'
startStep: 30
endStep: 128
load: 440000000
protocol: TCP
port: '80'
source: '1'
destination: '9'
missionCriticality: 0
- itemType: RED_IER
id: '37'
startStep: 30
endStep: 128
load: 440000000
protocol: TCP
port: '80'
source: '2'
destination: '9'
missionCriticality: 0
- itemType: RED_POL
id: '38'
startStep: 30
endStep: 30
targetNodeId: '9'
initiator: IER
type: SERVICE
protocol: TCP
state: OVERWHELMED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA

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@@ -1,166 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
- itemType: ACTIONS
type: NODE
- itemType: STEPS
steps: 256
- itemType: PORTS
portsList:
- port: '80'
- itemType: SERVICES
serviceList:
- name: TCP
- itemType: NODE
id: '1'
name: PC1
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.2
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '2'
name: PC2
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.3
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '3'
name: SWITCH1
baseType: ACTIVE
nodeType: SWITCH
priority: P2
hardwareState: 'ON'
ipAddress: 192.168.1.1
softwareState: GOOD
fileSystemState: GOOD
- itemType: NODE
id: '4'
name: SERVER1
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.4
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: LINK
id: '5'
name: link1
bandwidth: 1000000000
source: '1'
destination: '3'
- itemType: LINK
id: '6'
name: link2
bandwidth: 1000000000
source: '2'
destination: '3'
- itemType: LINK
id: '7'
name: link3
bandwidth: 1000000000
source: '3'
destination: '4'
- itemType: GREEN_IER
id: '8'
startStep: 1
endStep: 256
load: 10000
protocol: TCP
port: '80'
source: '1'
destination: '4'
missionCriticality: 1
- itemType: GREEN_IER
id: '9'
startStep: 1
endStep: 256
load: 10000
protocol: TCP
port: '80'
source: '2'
destination: '4'
missionCriticality: 1
- itemType: GREEN_IER
id: '10'
startStep: 1
endStep: 256
load: 10000
protocol: TCP
port: '80'
source: '4'
destination: '2'
missionCriticality: 5
- itemType: ACL_RULE
id: '11'
permission: ALLOW
source: 192.168.1.2
destination: 192.168.1.4
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '12'
permission: ALLOW
source: 192.168.1.3
destination: 192.168.1.4
protocol: TCP
port: 80
- itemType: ACL_RULE
id: '13'
permission: ALLOW
source: 192.168.1.4
destination: 192.168.1.3
protocol: TCP
port: 80
- itemType: RED_POL
id: '14'
startStep: 20
endStep: 20
targetNodeId: '1'
initiator: DIRECT
type: SERVICE
protocol: TCP
state: COMPROMISED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- itemType: RED_IER
id: '15'
startStep: 30
endStep: 256
load: 10000000
protocol: TCP
port: '80'
source: '1'
destination: '4'
missionCriticality: 0
- itemType: RED_POL
id: '16'
startStep: 40
endStep: 40
targetNodeId: '4'
initiator: IER
type: SERVICE
protocol: TCP
state: OVERWHELMED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA

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@@ -1,534 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
- itemType: ACTIONS
type: NODE
- itemType: STEPS
steps: 256
- itemType: PORTS
portsList:
- port: '80'
- port: '1433'
- port: '53'
- itemType: SERVICES
serviceList:
- name: TCP
- name: TCP_SQL
- name: UDP
- itemType: NODE
id: '1'
name: CLIENT_1
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.10.11
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- name: UDP
port: '53'
state: GOOD
- itemType: NODE
id: '2'
name: CLIENT_2
baseType: SERVICE
nodeType: COMPUTER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.10.12
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: NODE
id: '3'
name: SWITCH_1
baseType: ACTIVE
nodeType: SWITCH
priority: P2
hardwareState: 'ON'
ipAddress: 192.168.10.1
softwareState: GOOD
fileSystemState: GOOD
- itemType: NODE
id: '4'
name: SECURITY_SUITE
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.10
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- name: UDP
port: '53'
state: GOOD
- itemType: NODE
id: '5'
name: MANAGEMENT_CONSOLE
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.1.12
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- name: UDP
port: '53'
state: GOOD
- itemType: NODE
id: '6'
name: SWITCH_2
baseType: ACTIVE
nodeType: SWITCH
priority: P2
hardwareState: 'ON'
ipAddress: 192.168.2.1
softwareState: GOOD
fileSystemState: GOOD
- itemType: NODE
id: '7'
name: WEB_SERVER
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.2.10
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- name: TCP_SQL
port: '1433'
state: GOOD
- itemType: NODE
id: '8'
name: DATABASE_SERVER
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.2.14
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- name: TCP_SQL
port: '1433'
state: GOOD
- name: UDP
port: '53'
state: GOOD
- itemType: NODE
id: '9'
name: BACKUP_SERVER
baseType: SERVICE
nodeType: SERVER
priority: P5
hardwareState: 'ON'
ipAddress: 192.168.2.16
softwareState: GOOD
fileSystemState: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- itemType: LINK
id: '10'
name: LINK_1
bandwidth: 1000000000
source: '1'
destination: '3'
- itemType: LINK
id: '11'
name: LINK_2
bandwidth: 1000000000
source: '2'
destination: '3'
- itemType: LINK
id: '12'
name: LINK_3
bandwidth: 1000000000
source: '3'
destination: '4'
- itemType: LINK
id: '13'
name: LINK_4
bandwidth: 1000000000
source: '3'
destination: '5'
- itemType: LINK
id: '14'
name: LINK_5
bandwidth: 1000000000
source: '4'
destination: '6'
- itemType: LINK
id: '15'
name: LINK_6
bandwidth: 1000000000
source: '5'
destination: '6'
- itemType: LINK
id: '16'
name: LINK_7
bandwidth: 1000000000
source: '6'
destination: '7'
- itemType: LINK
id: '17'
name: LINK_8
bandwidth: 1000000000
source: '6'
destination: '8'
- itemType: LINK
id: '18'
name: LINK_9
bandwidth: 1000000000
source: '6'
destination: '9'
- itemType: GREEN_IER
id: '19'
startStep: 1
endStep: 256
load: 10000
protocol: TCP
port: '80'
source: '1'
destination: '7'
missionCriticality: 5
- itemType: GREEN_IER
id: '20'
startStep: 1
endStep: 256
load: 10000
protocol: TCP
port: '80'
source: '7'
destination: '1'
missionCriticality: 5
- itemType: GREEN_IER
id: '21'
startStep: 1
endStep: 256
load: 10000
protocol: TCP
port: '80'
source: '2'
destination: '7'
missionCriticality: 5
- itemType: GREEN_IER
id: '22'
startStep: 1
endStep: 256
load: 10000
protocol: TCP
port: '80'
source: '7'
destination: '2'
missionCriticality: 5
- itemType: GREEN_IER
id: '23'
startStep: 1
endStep: 256
load: 5000
protocol: TCP_SQL
port: '1433'
source: '7'
destination: '8'
missionCriticality: 5
- itemType: GREEN_IER
id: '24'
startStep: 1
endStep: 256
load: 100000
protocol: TCP_SQL
port: '1433'
source: '8'
destination: '7'
missionCriticality: 5
- itemType: GREEN_IER
id: '25'
startStep: 1
endStep: 256
load: 50000
protocol: TCP
port: '80'
source: '1'
destination: '9'
missionCriticality: 2
- itemType: GREEN_IER
id: '26'
startStep: 1
endStep: 256
load: 50000
protocol: TCP
port: '80'
source: '2'
destination: '9'
missionCriticality: 2
- itemType: GREEN_IER
id: '27'
startStep: 1
endStep: 256
load: 5000
protocol: TCP
port: '80'
source: '5'
destination: '7'
missionCriticality: 1
- itemType: GREEN_IER
id: '28'
startStep: 1
endStep: 256
load: 5000
protocol: TCP
port: '80'
source: '7'
destination: '5'
missionCriticality: 1
- itemType: GREEN_IER
id: '29'
startStep: 1
endStep: 256
load: 5000
protocol: TCP
port: '80'
source: '5'
destination: '8'
missionCriticality: 1
- itemType: GREEN_IER
id: '30'
startStep: 1
endStep: 256
load: 5000
protocol: TCP
port: '80'
source: '8'
destination: '5'
missionCriticality: 1
- itemType: GREEN_IER
id: '31'
startStep: 1
endStep: 256
load: 5000
protocol: TCP
port: '80'
source: '5'
destination: '9'
missionCriticality: 1
- itemType: GREEN_IER
id: '32'
startStep: 1
endStep: 256
load: 5000
protocol: TCP
port: '80'
source: '9'
destination: '5'
missionCriticality: 1
- itemType: ACL_RULE
id: '33'
permission: ALLOW
source: 192.168.10.11
destination: 192.168.2.10
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '34'
permission: ALLOW
source: 192.168.10.11
destination: 192.168.2.14
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '35'
permission: ALLOW
source: 192.168.10.12
destination: 192.168.2.14
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '36'
permission: ALLOW
source: 192.168.10.12
destination: 192.168.2.10
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '37'
permission: ALLOW
source: 192.168.2.10
destination: 192.168.10.11
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '38'
permission: ALLOW
source: 192.168.2.10
destination: 192.168.10.12
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '39'
permission: ALLOW
source: 192.168.2.10
destination: 192.168.2.14
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '40'
permission: ALLOW
source: 192.168.2.14
destination: 192.168.2.10
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '41'
permission: ALLOW
source: 192.168.10.11
destination: 192.168.2.16
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '42'
permission: ALLOW
source: 192.168.10.12
destination: 192.168.2.16
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '43'
permission: ALLOW
source: 192.168.1.12
destination: 192.168.2.10
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '44'
permission: ALLOW
source: 192.168.1.12
destination: 192.168.2.14
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '45'
permission: ALLOW
source: 192.168.1.12
destination: 192.168.2.16
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '46'
permission: ALLOW
source: 192.168.2.10
destination: 192.168.1.12
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '47'
permission: ALLOW
source: 192.168.2.14
destination: 192.168.1.12
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '48'
permission: ALLOW
source: 192.168.2.16
destination: 192.168.1.12
protocol: ANY
port: ANY
- itemType: ACL_RULE
id: '49'
permission: DENY
source: ANY
destination: ANY
protocol: ANY
port: ANY
- itemType: RED_POL
id: '50'
startStep: 50
endStep: 50
targetNodeId: '1'
initiator: DIRECT
type: SERVICE
protocol: UDP
state: COMPROMISED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- itemType: RED_IER
id: '51'
startStep: 75
endStep: 105
load: 10000
protocol: UDP
port: '53'
source: '1'
destination: '8'
missionCriticality: 0
- itemType: RED_POL
id: '52'
startStep: 100
endStep: 100
targetNodeId: '8'
initiator: IER
type: SERVICE
protocol: UDP
state: COMPROMISED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- itemType: RED_POL
id: '53'
startStep: 105
endStep: 105
targetNodeId: '8'
initiator: SERVICE
type: FILE
protocol: NA
state: CORRUPT
sourceNodeId: '8'
sourceNodeService: UDP
sourceNodeServiceState: COMPROMISED
- itemType: RED_POL
id: '54'
startStep: 105
endStep: 105
targetNodeId: '8'
initiator: SERVICE
type: SERVICE
protocol: TCP_SQL
state: COMPROMISED
sourceNodeId: '8'
sourceNodeService: UDP
sourceNodeServiceState: COMPROMISED
- itemType: RED_POL
id: '55'
startStep: 125
endStep: 125
targetNodeId: '7'
initiator: SERVICE
type: SERVICE
protocol: TCP
state: OVERWHELMED
sourceNodeId: '8'
sourceNodeService: TCP_SQL
sourceNodeServiceState: COMPROMISED

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@@ -1,92 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Main Config File
# Generic config values
# Choose one of these (dependent on Agent being trained)
# "STABLE_BASELINES3_PPO"
# "STABLE_BASELINES3_A2C"
# "GENERIC"
agentIdentifier: STABLE_BASELINES3_A2C
# Number of episodes to run per session
numEpisodes: 10
# Time delay between steps (for generic agents)
timeDelay: 10
# Filename of the scenario / laydown
configFilename: config_5_DATA_MANIPULATION.yaml
# Type of session to be run (TRAINING or EVALUATION)
sessionType: TRAINING
# Determine whether to load an agent from file
loadAgent: False
# File path and file name of agent if you're loading one in
agentLoadFile: C:\[Path]\[agent_saved_filename.zip]
# Environment config values
# The high value for the observation space
observationSpaceHighValue: 1000000000
# Reward values
# Generic
allOk: 0
# Node Hardware State
offShouldBeOn: -10
offShouldBeResetting: -5
onShouldBeOff: -2
onShouldBeResetting: -5
resettingShouldBeOn: -5
resettingShouldBeOff: -2
resetting: -3
# Node Software or Service State
goodShouldBePatching: 2
goodShouldBeCompromised: 5
goodShouldBeOverwhelmed: 5
patchingShouldBeGood: -5
patchingShouldBeCompromised: 2
patchingShouldBeOverwhelmed: 2
patching: -3
compromisedShouldBeGood: -20
compromisedShouldBePatching: -20
compromisedShouldBeOverwhelmed: -20
compromised: -20
overwhelmedShouldBeGood: -20
overwhelmedShouldBePatching: -20
overwhelmedShouldBeCompromised: -20
overwhelmed: -20
# Node File System State
goodShouldBeRepairing: 2
goodShouldBeRestoring: 2
goodShouldBeCorrupt: 5
goodShouldBeDestroyed: 10
repairingShouldBeGood: -5
repairingShouldBeRestoring: 2
repairingShouldBeCorrupt: 2
repairingShouldBeDestroyed: 0
repairing: -3
restoringShouldBeGood: -10
restoringShouldBeRepairing: -2
restoringShouldBeCorrupt: 1
restoringShouldBeDestroyed: 2
restoring: -6
corruptShouldBeGood: -10
corruptShouldBeRepairing: -10
corruptShouldBeRestoring: -10
corruptShouldBeDestroyed: 2
corrupt: -10
destroyedShouldBeGood: -20
destroyedShouldBeRepairing: -20
destroyedShouldBeRestoring: -20
destroyedShouldBeCorrupt: -20
destroyed: -20
scanning: -2
# IER status
redIerRunning: -5
greenIerBlocked: -10
# Patching / Reset durations
osPatchingDuration: 5 # The time taken to patch the OS
nodeResetDuration: 5 # The time taken to reset a node (hardware)
nodeBootingDuration: 3 # The Time taken to turn on the node
nodeShutdownDuration: 2 # The time taken to turn off the node
servicePatchingDuration: 5 # The time taken to patch a service
fileSystemRepairingLimit: 5 # The time take to repair the file system
fileSystemRestoringLimit: 5 # The time take to restore the file system
fileSystemScanningLimit: 5 # The time taken to scan the file system

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@@ -1,114 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Main Config File
# Generic config values
# Sets which agent algorithm framework will be used:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray[RLlib])
# "NONE" (Custom Agent)
agent_framework: SB3
# Sets which Red Agent algo/class will be used:
# "PPO" (Proximal Policy Optimization)
# "A2C" (Advantage Actor Critic)
# "HARDCODED" (Custom Agent)
# "RANDOM" (Random Action)
agent_identifier: PPO
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: ANY
# Number of episodes for training to run per session
num_train_episodes: 10
# Number of time_steps for training per episode
num_train_steps: 256
# Number of episodes for evaluation to run per session
num_eval_episodes: 1
# Number of time_steps for evaluation per episode
num_eval_steps: 256
# Time delay between steps (for generic agents)
time_delay: 10
# Type of session to be run (TRAINING or EVALUATION)
session_type: TRAIN
# Determine whether to load an agent from file
load_agent: False
# File path and file name of agent if you're loading one in
agent_load_file: C:\[Path]\[agent_saved_filename.zip]
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node Software or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

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@@ -1,103 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
- item_type: PORTS
ports_list:
- port: '80'
- port: '53'
- item_type: SERVICES
service_list:
- name: TCP
- name: UDP
########################################
# Nodes
- item_type: NODE
node_id: '1'
name: PC1
node_class: SERVICE
node_type: COMPUTER
priority: P5
hardware_state: 'ON'
ip_address: 192.168.1.1
software_state: COMPROMISED
file_system_state: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- name: UDP
port: '53'
state: GOOD
- item_type: NODE
node_id: '2'
name: SERVER
node_class: SERVICE
node_type: SERVER
priority: P5
hardware_state: 'ON'
ip_address: 192.168.1.2
software_state: GOOD
file_system_state: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- name: UDP
port: '53'
state: OVERWHELMED
- item_type: NODE
node_id: '3'
name: SWITCH1
node_class: ACTIVE
node_type: SWITCH
priority: P2
hardware_state: 'ON'
ip_address: 192.168.1.3
software_state: GOOD
file_system_state: GOOD
########################################
# Links
- item_type: LINK
id: '4'
name: link1
bandwidth: 1000
source: '1'
destination: '3'
- item_type: LINK
id: '5'
name: link2
bandwidth: 1000
source: '3'
destination: '2'
#########################################
# IERS
- item_type: GREEN_IER
id: '5'
start_step: 0
end_step: 5
load: 999
protocol: TCP
port: '80'
source: '1'
destination: '2'
mission_criticality: 5
#########################################
# ACL Rules
- item_type: ACL_RULE
id: '6'
permission: ALLOW
source: 192.168.1.1
destination: 192.168.1.2
protocol: TCP
port: 80
position: 0
- item_type: ACL_RULE
id: '7'
permission: ALLOW
source: 192.168.1.2
destination: 192.168.1.1
protocol: TCP
port: 80
position: 0

View File

@@ -1,86 +0,0 @@
- item_type: PORTS
ports_list:
- port: '80'
- port: '21'
- item_type: SERVICES
service_list:
- name: TCP
- name: FTP
########################################
# Nodes
- item_type: NODE
node_id: '1'
name: PC1
node_class: SERVICE
node_type: COMPUTER
priority: P5
hardware_state: 'ON'
ip_address: 192.168.1.1
software_state: COMPROMISED
file_system_state: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- name: FTP
port: '21'
state: GOOD
- item_type: NODE
node_id: '2'
name: SERVER
node_class: SERVICE
node_type: SERVER
priority: P5
hardware_state: 'ON'
ip_address: 192.168.1.2
software_state: GOOD
file_system_state: GOOD
services:
- name: TCP
port: '80'
state: GOOD
- name: FTP
port: '21'
state: OVERWHELMED
- item_type: NODE
node_id: '3'
name: SWITCH1
node_class: ACTIVE
node_type: SWITCH
priority: P2
hardware_state: 'ON'
ip_address: 192.168.1.3
software_state: GOOD
file_system_state: GOOD
########################################
# Links
- item_type: LINK
id: '4'
name: link1
bandwidth: 1000
source: '1'
destination: '3'
- item_type: LINK
id: '5'
name: link2
bandwidth: 1000
source: '3'
destination: '2'
#########################################
# IERS
- item_type: GREEN_IER
id: '5'
start_step: 0
end_step: 5
load: 999
protocol: TCP
port: '80'
source: '1'
destination: '2'
mission_criticality: 5
#########################################
# ACL Rules

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@@ -1,106 +0,0 @@
# Main Config File
# Generic config values
# Choose one of these (dependent on Agent being trained)
# "STABLE_BASELINES3_PPO"
# "STABLE_BASELINES3_A2C"
# "GENERIC"
agent_framework: SB3
agent_identifier: PPO
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: ANY
# Number of episodes for training to run per session
num_train_episodes: 1
# Number of time_steps for training per episode
num_train_steps: 5
# Implicit ACL firewall rule at end of lists to be default action or no rule can be selected (ALLOW or DENY)
implicit_acl_rule: DENY
# Total number of ACL rules allowed in the environment
max_number_acl_rules: 3
observation_space:
components:
- name: ACCESS_CONTROL_LIST
# Time delay between steps (for generic agents)
time_delay: 1
# Type of session to be run (TRAINING or EVALUATION)
session_type: TRAIN
# Determine whether to load an agent from file
load_agent: False
# File path and file name of agent if you're loading one in
agent_load_file: C:\[Path]\[agent_saved_filename.zip]
# Environment config values
# The high value for the observation space
observation_space_high_value: 1_000_000_000
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node Software or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

View File

@@ -1,121 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: SB3
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: A2C
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: ANY
# Number of episodes for training to run per session
num_train_episodes: 1
# Number of time_steps for training per episode
num_train_steps: 5
observation_space:
components:
- name: LINK_TRAFFIC_LEVELS
options:
combine_service_traffic: false
quantisation_levels: 8
# Time delay between steps (for generic agents)
time_delay: 1
# Implicit ACL firewall rule at end of lists to be default action or no rule can be selected (ALLOW or DENY)
implicit_acl_rule: ALLOW
# Total number of ACL rules allowed in the environment
max_number_acl_rules: 4
# Type of session to be run (TRAINING or EVALUATION)
session_type: TRAIN
# Determine whether to load an agent from file
load_agent: False
# File path and file name of agent if you're loading one in
agent_load_file: C:\[Path]\[agent_saved_filename.zip]
# Environment config values
# The high value for the observation space
observation_space_high_value: 1_000_000_000
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node Software or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

View File

@@ -1,118 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: CUSTOM
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: RANDOM
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: ANY
# Number of episodes for training to run per session
num_train_episodes: 1
# Number of time_steps for training per episode
num_train_steps: 5
observation_space:
components:
- name: NODE_LINK_TABLE
# Time delay between steps (for generic agents)
time_delay: 1
# Filename of the scenario / laydown
# Implicit ACL firewall rule at end of lists to be default action or no rule can be selected (ALLOW or DENY)
implicit_acl_rule: ALLOW
# Total number of ACL rules allowed in the environment
max_number_acl_rules: 4
session_type: TRAIN
# Determine whether to load an agent from file
load_agent: False
# File path and file name of agent if you're loading one in
agent_load_file: C:\[Path]\[agent_saved_filename.zip]
# Environment config values
# The high value for the observation space
observation_space_high_value: 1_000_000_000
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node Software or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

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@@ -1,115 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: CUSTOM
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: RANDOM
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: ANY
# Number of episodes for training to run per session
num_train_episodes: 1
# Number of time_steps for training per episode
num_train_steps: 5
observation_space:
components:
- name: NODE_STATUSES
# Time delay between steps (for generic agents)
time_delay: 1
# Type of session to be run (TRAINING or EVALUATION)
session_type: TRAIN
# Determine whether to load an agent from file
load_agent: False
# File path and file name of agent if you're loading one in
agent_load_file: C:\[Path]\[agent_saved_filename.zip]
# Environment config values
# The high value for the observation space
observation_space_high_value: 1_000_000_000
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node Software or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

View File

@@ -1,108 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: CUSTOM
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: RANDOM
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: ANY
# Number of episodes for training to run per session
num_train_episodes: 1
# Number of time_steps for training per episode
num_train_steps: 5
# Time delay between steps (for generic agents)
time_delay: 1
# Type of session to be run (TRAINING or EVALUATION)
session_type: TRAIN
# Determine whether to load an agent from file
load_agent: False
# File path and file name of agent if you're loading one in
agent_load_file: C:\[Path]\[agent_saved_filename.zip]
# Environment config values
# The high value for the observation space
observation_space_high_value: 1_000_000_000
# Implicit ACL firewall rule at end of lists to be default action or no rule can be selected (ALLOW or DENY)
implicit_acl_rule: DENY
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node Software or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

View File

@@ -1,117 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
- item_type: PORTS
ports_list:
- port: '21'
- item_type: SERVICES
service_list:
- name: ftp
- item_type: NODE
node_id: '1'
name: node
node_class: SERVICE
node_type: COMPUTER
priority: P1
hardware_state: 'ON'
ip_address: 192.168.0.1
software_state: GOOD
file_system_state: GOOD
services:
- name: ftp
port: '21'
state: GOOD
- item_type: RED_POL
id: '1'
start_step: 1
end_step: 3
targetNodeId: '1'
initiator: DIRECT
type: FILE
protocol: NA
state: CORRUPT
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- item_type: RED_POL
id: '2'
start_step: 3
end_step: 15
targetNodeId: '1'
initiator: DIRECT
type: FILE
protocol: NA
state: GOOD
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- item_type: RED_POL
id: '3'
start_step: 4
end_step: 6
targetNodeId: '1'
initiator: DIRECT
type: OPERATING
protocol: NA
state: 'OFF'
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- item_type: RED_POL
id: '4'
start_step: 6
end_step: 15
targetNodeId: '1'
initiator: DIRECT
type: OPERATING
protocol: NA
state: 'ON'
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- item_type: RED_POL
id: '5'
start_step: 7
end_step: 9
targetNodeId: '1'
initiator: DIRECT
type: SERVICE
protocol: ftp
state: COMPROMISED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- item_type: RED_POL
id: '6'
start_step: 9
end_step: 15
targetNodeId: '1'
initiator: DIRECT
type: SERVICE
protocol: ftp
state: GOOD
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- item_type: RED_POL
id: '7'
start_step: 10
end_step: 12
targetNodeId: '1'
initiator: DIRECT
type: OS
protocol: NA
state: COMPROMISED
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA
- item_type: RED_POL
id: '8'
start_step: 12
end_step: 15
targetNodeId: '1'
initiator: DIRECT
type: OS
protocol: NA
state: GOOD
sourceNodeId: NA
sourceNodeService: NA
sourceNodeServiceState: NA

View File

@@ -1,166 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: CUSTOM
# Sets which deep learning framework will be used (by RLlib ONLY).
# Default is TF (Tensorflow).
# Options are:
# "TF" (Tensorflow)
# TF2 (Tensorflow 2.X)
# TORCH (PyTorch)
deep_learning_framework: TF2
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: DUMMY
# Sets whether Red Agent POL and IER is randomised.
# Options are:
# True
# False
random_red_agent: False
# The (integer) seed to be used in random number generation
# Default is None (null)
seed: null
# Set whether the agent will be deterministic instead of stochastic
# Options are:
# True
# False
deterministic: False
# Sets what view of the environment the deterministic hardcoded agent has. The default is BASIC.
# Options are:
# "BASIC" (The current observation space only)
# "FULL" (Full environment view with actions taken and reward feedback)
hard_coded_agent_view: FULL
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: NODE
# observation space
observation_space:
# flatten: true
components:
- name: NODE_LINK_TABLE
# - name: NODE_STATUSES
# - name: LINK_TRAFFIC_LEVELS
# Number of episodes for training to run per session
num_train_episodes: 10
# Number of time_steps for training per episode
num_train_steps: 256
# Number of episodes for evaluation to run per session
num_eval_episodes: 1
# Number of time_steps for evaluation per episode
num_eval_steps: 15
# Sets how often the agent will save a checkpoint (every n time episodes).
# Set to 0 if no checkpoints are required. Default is 10
checkpoint_every_n_episodes: 10
# Time delay (milliseconds) between steps for CUSTOM agents.
time_delay: 5
# Type of session to be run. Options are:
# "TRAIN" (Trains an agent)
# "EVAL" (Evaluates an agent)
# "TRAIN_EVAL" (Trains then evaluates an agent)
session_type: EVAL
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
implicit_acl_rule: DENY
max_number_acl_rules: 10
# The Stable Baselines3 learn/eval output verbosity level:
# Options are:
# "NONE" (No Output)
# "INFO" (Info Messages (such as devices and wrappers used))
# "DEBUG" (All Messages)
sb3_output_verbose_level: NONE
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node Software or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

View File

@@ -1,162 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: SB3
# Sets which deep learning framework will be used (by RLlib ONLY).
# Default is TF (Tensorflow).
# Options are:
# "TF" (Tensorflow)
# TF2 (Tensorflow 2.X)
# TORCH (PyTorch)
deep_learning_framework: TF2
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: PPO
# Sets whether Red Agent POL and IER is randomised.
# Options are:
# True
# False
random_red_agent: False
# The (integer) seed to be used in random number generation
# Default is None (null)
seed: None
# Set whether the agent evaluation will be deterministic instead of stochastic
# Options are:
# True
# False
deterministic: False
# Sets what view of the environment the deterministic hardcoded agent has. The default is BASIC.
# Options are:
# "BASIC" (The current observation space only)
# "FULL" (Full environment view with actions taken and reward feedback)
hard_coded_agent_view: FULL
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: NODE
# observation space
observation_space:
components:
- name: NODE_LINK_TABLE
# - name: NODE_STATUSES
# - name: LINK_TRAFFIC_LEVELS
# - name: ACCESS_CONTROL_LIST
# Number of episodes to run per session
num_train_episodes: 10
# Number of time_steps per episode
num_train_steps: 256
# Number of episodes to run per session
num_eval_episodes: 10
# Number of time_steps per episode
num_eval_steps: 256
# Sets how often the agent will save a checkpoint (every n time episodes).
# Set to 0 if no checkpoints are required. Default is 10
checkpoint_every_n_episodes: 0
# Time delay (milliseconds) between steps for CUSTOM agents.
time_delay: 5
# Type of session to be run. Options are:
# "TRAIN" (Trains an agent)
# "EVAL" (Evaluates an agent)
# "TRAIN_EVAL" (Trains then evaluates an agent)
session_type: TRAIN_EVAL
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
# The Stable Baselines3 learn/eval output verbosity level:
# Options are:
# "NONE" (No Output)
# "INFO" (Info Messages (such as devices and wrappers used))
# "DEBUG" (All Messages)
sb3_output_verbose_level: NONE
# Reward values
# Generic
all_ok: 0.0000
# Node Hardware State
off_should_be_on: -0.001
off_should_be_resetting: -0.0005
on_should_be_off: -0.0002
on_should_be_resetting: -0.0005
resetting_should_be_on: -0.0005
resetting_should_be_off: -0.0002
resetting: -0.0003
# Node Software or Service State
good_should_be_patching: 0.0002
good_should_be_compromised: 0.0005
good_should_be_overwhelmed: 0.0005
patching_should_be_good: -0.0005
patching_should_be_compromised: 0.0002
patching_should_be_overwhelmed: 0.0002
patching: -0.0003
compromised_should_be_good: -0.002
compromised_should_be_patching: -0.002
compromised_should_be_overwhelmed: -0.002
compromised: -0.002
overwhelmed_should_be_good: -0.002
overwhelmed_should_be_patching: -0.002
overwhelmed_should_be_compromised: -0.002
overwhelmed: -0.002
# Node File System State
good_should_be_repairing: 0.0002
good_should_be_restoring: 0.0002
good_should_be_corrupt: 0.0005
good_should_be_destroyed: 0.001
repairing_should_be_good: -0.0005
repairing_should_be_restoring: 0.0002
repairing_should_be_corrupt: 0.0002
repairing_should_be_destroyed: 0.0000
repairing: -0.0003
restoring_should_be_good: -0.001
restoring_should_be_repairing: -0.0002
restoring_should_be_corrupt: 0.0001
restoring_should_be_destroyed: 0.0002
restoring: -0.0006
corrupt_should_be_good: -0.001
corrupt_should_be_repairing: -0.001
corrupt_should_be_restoring: -0.001
corrupt_should_be_destroyed: 0.0002
corrupt: -0.001
destroyed_should_be_good: -0.002
destroyed_should_be_repairing: -0.002
destroyed_should_be_restoring: -0.002
destroyed_should_be_corrupt: -0.002
destroyed: -0.002
scanning: -0.0002
# IER status
red_ier_running: -0.0005
green_ier_blocked: -0.001
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

View File

@@ -1,161 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: SB3
# Sets which deep learning framework will be used (by RLlib ONLY).
# Default is TF (Tensorflow).
# Options are:
# "TF" (Tensorflow)
# TF2 (Tensorflow 2.X)
# TORCH (PyTorch)
deep_learning_framework: TF2
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: PPO
# Sets whether Red Agent POL and IER is randomised.
# Options are:
# True
# False
random_red_agent: False
# The (integer) seed to be used in random number generation
# Default is None (null)
seed: 67890
# Set whether the agent evaluation will be deterministic instead of stochastic
# Options are:
# True
# False
deterministic: True
# Sets what view of the environment the deterministic hardcoded agent has. The default is BASIC.
# Options are:
# "BASIC" (The current observation space only)
# "FULL" (Full environment view with actions taken and reward feedback)
hard_coded_agent_view: FULL
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: NODE
# observation space
observation_space:
components:
- name: NODE_LINK_TABLE
# - name: NODE_STATUSES
# - name: LINK_TRAFFIC_LEVELS
# Number of episodes to run per session
num_train_episodes: 10
# Number of time_steps per episode
num_train_steps: 256
# Number of episodes to run per session
num_eval_episodes: 1
# Number of time_steps per episode
num_eval_steps: 256
# Sets how often the agent will save a checkpoint (every n time episodes).
# Set to 0 if no checkpoints are required. Default is 10
checkpoint_every_n_episodes: 0
# Time delay (milliseconds) between steps for CUSTOM agents.
time_delay: 5
# Type of session to be run. Options are:
# "TRAIN" (Trains an agent)
# "EVAL" (Evaluates an agent)
# "TRAIN_EVAL" (Trains then evaluates an agent)
session_type: TRAIN_EVAL
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
# The Stable Baselines3 learn/eval output verbosity level:
# Options are:
# "NONE" (No Output)
# "INFO" (Info Messages (such as devices and wrappers used))
# "DEBUG" (All Messages)
sb3_output_verbose_level: NONE
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node Software or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

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@@ -1,164 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: RLLIB
# Sets which deep learning framework will be used (by RLlib ONLY).
# Default is TF (Tensorflow).
# Options are:
# "TF" (Tensorflow)
# TF2 (Tensorflow 2.X)
# TORCH (PyTorch)
deep_learning_framework: TF2
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: PPO
# Sets whether Red Agent POL and IER is randomised.
# Options are:
# True
# False
random_red_agent: False
# The (integer) seed to be used in random number generation
# Default is None (null)
seed: null
# Set whether the agent will be deterministic instead of stochastic
# Options are:
# True
# False
deterministic: False
# Sets what view of the environment the deterministic hardcoded agent has. The default is BASIC.
# Options are:
# "BASIC" (The current observation space only)
# "FULL" (Full environment view with actions taken and reward feedback)
hard_coded_agent_view: FULL
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: NODE
# observation space
observation_space:
# flatten: true
components:
- name: NODE_LINK_TABLE
# - name: NODE_STATUSES
# - name: LINK_TRAFFIC_LEVELS
# Number of episodes for training to run per session
num_train_episodes: 10
# Number of time_steps for training per episode
num_train_steps: 256
# Number of episodes for evaluation to run per session
num_eval_episodes: 3
# Number of time_steps for evaluation per episode
num_eval_steps: 256
# Sets how often the agent will save a checkpoint (every n time episodes).
# Set to 0 if no checkpoints are required. Default is 10
checkpoint_every_n_episodes: 10
# Time delay (milliseconds) between steps for CUSTOM agents.
time_delay: 5
# Type of session to be run. Options are:
# "TRAIN" (Trains an agent)
# "EVAL" (Evaluates an agent)
# "TRAIN_EVAL" (Trains then evaluates an agent)
session_type: TRAIN_EVAL
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
# The Stable Baselines3 learn/eval output verbosity level:
# Options are:
# "NONE" (No Output)
# "INFO" (Info Messages (such as devices and wrappers used))
# "DEBUG" (All Messages)
sb3_output_verbose_level: NONE
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -0.001
off_should_be_resetting: -0.0005
on_should_be_off: -0.0002
on_should_be_resetting: -0.0005
resetting_should_be_on: -0.0005
resetting_should_be_off: -0.0002
resetting: -0.0003
# Node Software or Service State
good_should_be_patching: 0.0002
good_should_be_compromised: 0.0005
good_should_be_overwhelmed: 0.0005
patching_should_be_good: -0.0005
patching_should_be_compromised: 0.0002
patching_should_be_overwhelmed: 0.0002
patching: -0.0003
compromised_should_be_good: -0.002
compromised_should_be_patching: -0.002
compromised_should_be_overwhelmed: -0.002
compromised: -0.002
overwhelmed_should_be_good: -0.002
overwhelmed_should_be_patching: -0.002
overwhelmed_should_be_compromised: -0.002
overwhelmed: -0.002
# Node File System State
good_should_be_repairing: 0.0002
good_should_be_restoring: 0.0002
good_should_be_corrupt: 0.0005
good_should_be_destroyed: 0.001
repairing_should_be_good: -0.0005
repairing_should_be_restoring: 0.0002
repairing_should_be_corrupt: 0.0002
repairing_should_be_destroyed: 0.0000
repairing: -0.0003
restoring_should_be_good: -0.001
restoring_should_be_repairing: -0.0002
restoring_should_be_corrupt: 0.0001
restoring_should_be_destroyed: 0.0002
restoring: -0.0006
corrupt_should_be_good: -0.001
corrupt_should_be_repairing: -0.001
corrupt_should_be_restoring: -0.001
corrupt_should_be_destroyed: 0.0002
corrupt: -0.001
destroyed_should_be_good: -0.002
destroyed_should_be_repairing: -0.002
destroyed_should_be_restoring: -0.002
destroyed_should_be_corrupt: -0.002
destroyed: -0.002
scanning: -0.0002
# IER status
red_ier_running: -0.0005
green_ier_blocked: -0.001
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

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@@ -1,164 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: SB3
# Sets which deep learning framework will be used (by RLlib ONLY).
# Default is TF (Tensorflow).
# Options are:
# "TF" (Tensorflow)
# TF2 (Tensorflow 2.X)
# TORCH (PyTorch)
deep_learning_framework: TF2
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: PPO
# Sets whether Red Agent POL and IER is randomised.
# Options are:
# True
# False
random_red_agent: False
# The (integer) seed to be used in random number generation
# Default is None (null)
seed: null
# Set whether the agent will be deterministic instead of stochastic
# Options are:
# True
# False
deterministic: False
# Sets what view of the environment the deterministic hardcoded agent has. The default is BASIC.
# Options are:
# "BASIC" (The current observation space only)
# "FULL" (Full environment view with actions taken and reward feedback)
hard_coded_agent_view: FULL
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: NODE
# observation space
observation_space:
# flatten: true
components:
- name: NODE_LINK_TABLE
# - name: NODE_STATUSES
# - name: LINK_TRAFFIC_LEVELS
# Number of episodes for training to run per session
num_train_episodes: 10
# Number of time_steps for training per episode
num_train_steps: 256
# Number of episodes for evaluation to run per session
num_eval_episodes: 3
# Number of time_steps for evaluation per episode
num_eval_steps: 256
# Sets how often the agent will save a checkpoint (every n time episodes).
# Set to 0 if no checkpoints are required. Default is 10
checkpoint_every_n_episodes: 10
# Time delay (milliseconds) between steps for CUSTOM agents.
time_delay: 5
# Type of session to be run. Options are:
# "TRAIN" (Trains an agent)
# "EVAL" (Evaluates an agent)
# "TRAIN_EVAL" (Trains then evaluates an agent)
session_type: TRAIN_EVAL
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
# The Stable Baselines3 learn/eval output verbosity level:
# Options are:
# "NONE" (No Output)
# "INFO" (Info Messages (such as devices and wrappers used))
# "DEBUG" (All Messages)
sb3_output_verbose_level: NONE
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -0.001
off_should_be_resetting: -0.0005
on_should_be_off: -0.0002
on_should_be_resetting: -0.0005
resetting_should_be_on: -0.0005
resetting_should_be_off: -0.0002
resetting: -0.0003
# Node Software or Service State
good_should_be_patching: 0.0002
good_should_be_compromised: 0.0005
good_should_be_overwhelmed: 0.0005
patching_should_be_good: -0.0005
patching_should_be_compromised: 0.0002
patching_should_be_overwhelmed: 0.0002
patching: -0.0003
compromised_should_be_good: -0.002
compromised_should_be_patching: -0.002
compromised_should_be_overwhelmed: -0.002
compromised: -0.002
overwhelmed_should_be_good: -0.002
overwhelmed_should_be_patching: -0.002
overwhelmed_should_be_compromised: -0.002
overwhelmed: -0.002
# Node File System State
good_should_be_repairing: 0.0002
good_should_be_restoring: 0.0002
good_should_be_corrupt: 0.0005
good_should_be_destroyed: 0.001
repairing_should_be_good: -0.0005
repairing_should_be_restoring: 0.0002
repairing_should_be_corrupt: 0.0002
repairing_should_be_destroyed: 0.0000
repairing: -0.0003
restoring_should_be_good: -0.001
restoring_should_be_repairing: -0.0002
restoring_should_be_corrupt: 0.0001
restoring_should_be_destroyed: 0.0002
restoring: -0.0006
corrupt_should_be_good: -0.001
corrupt_should_be_repairing: -0.001
corrupt_should_be_restoring: -0.001
corrupt_should_be_destroyed: 0.0002
corrupt: -0.001
destroyed_should_be_good: -0.002
destroyed_should_be_repairing: -0.002
destroyed_should_be_restoring: -0.002
destroyed_should_be_corrupt: -0.002
destroyed: -0.002
scanning: -0.0002
# IER status
red_ier_running: -0.0005
green_ier_blocked: -0.001
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

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@@ -1,117 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: CUSTOM
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: RANDOM
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: ANY
# Number of episodes for training to run per session
num_train_episodes: 1
# Number of time_steps for training per episode
num_train_steps: 15
# Time delay between steps (for generic agents)
time_delay: 1
# Type of session to be run (TRAINING or EVALUATION)
session_type: EVAL
# Determine whether to load an agent from file
load_agent: False
# File path and file name of agent if you're loading one in
agent_load_file: C:\[Path]\[agent_saved_filename.zip]
# Implicit ACL firewall rule at end of lists to be default action or no rule can be selected (ALLOW or DENY)
implicit_acl_rule: DENY
# Total number of ACL rules allowed in the environment
max_number_acl_rules: 10
observation_space:
components:
- name: ACCESS_CONTROL_LIST
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
# Reward values
# Generic
all_ok: 0
# Node Operating State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node O/S or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

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@@ -1,45 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
- item_type: PORTS
ports_list:
- port: '80'
- item_type: SERVICES
service_list:
- name: TCP
- item_type: NODE
node_id: '1'
name: node
node_class: SERVICE
node_type: COMPUTER
priority: P1
hardware_state: 'ON'
ip_address: 192.168.0.14
software_state: GOOD
file_system_state: GOOD
services:
- name: TCP
port: '80'
state: COMPROMISED
- item_type: NODE
node_id: '2'
name: server_1
node_class: SERVICE
node_type: SERVER
priority: P1
hardware_state: 'ON'
ip_address: 192.168.0.1
software_state: GOOD
file_system_state: GOOD
services:
- name: TCP
port: '80'
state: COMPROMISED
- item_type: RED_IER
id: '3'
start_step: 2
end_step: 15
load: 1000
protocol: TCP
port: CORRUPT
source: '1'
destination: '2'
mission_criticality: 0

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@@ -1,116 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: CUSTOM
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: RANDOM
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: ANY
# Number of episodes for training to run per session
num_train_episodes: 10
# Number of time_steps for training per episode
num_train_steps: 256
# Number of episodes for evaluation to run per session
num_eval_episodes: 10
# Number of time_steps for evaluation per episode
num_eval_steps: 256
# Time delay between steps (for generic agents)
time_delay: 1
# Type of session to be run (TRAINING or EVALUATION)
session_type: EVAL
# Determine whether to load an agent from file
load_agent: False
# File path and file name of agent if you're loading one in
agent_load_file: C:\[Path]\[agent_saved_filename.zip]
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
# Choice whether to have an ALLOW or DENY implicit rule or not (TRUE or FALSE)
implicit_acl_rule: DENY
max_number_acl_rules: 10
# Reward values
# Generic
all_ok: 0
# Node Operating State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node O/S or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

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@@ -1,164 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: SB3
# Sets which deep learning framework will be used (by RLlib ONLY).
# Default is TF (Tensorflow).
# Options are:
# "TF" (Tensorflow)
# TF2 (Tensorflow 2.X)
# TORCH (PyTorch)
deep_learning_framework: TF2
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: PPO
# Sets whether Red Agent POL and IER is randomised.
# Options are:
# True
# False
random_red_agent: True
# The (integer) seed to be used in random number generation
# Default is None (null)
seed: null
# Set whether the agent will be deterministic instead of stochastic
# Options are:
# True
# False
deterministic: False
# Sets what view of the environment the deterministic hardcoded agent has. The default is BASIC.
# Options are:
# "BASIC" (The current observation space only)
# "FULL" (Full environment view with actions taken and reward feedback)
hard_coded_agent_view: FULL
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: NODE
# observation space
observation_space:
# flatten: true
components:
- name: NODE_LINK_TABLE
# - name: NODE_STATUSES
# - name: LINK_TRAFFIC_LEVELS
# Number of episodes for training to run per session
num_train_episodes: 10
# Number of time_steps for training per episode
num_train_steps: 256
# Number of episodes for evaluation to run per session
num_eval_episodes: 1
# Number of time_steps for evaluation per episode
num_eval_steps: 256
# Sets how often the agent will save a checkpoint (every n time episodes).
# Set to 0 if no checkpoints are required. Default is 10
checkpoint_every_n_episodes: 10
# Time delay (milliseconds) between steps for CUSTOM agents.
time_delay: 5
# Type of session to be run. Options are:
# "TRAIN" (Trains an agent)
# "EVAL" (Evaluates an agent)
# "TRAIN_EVAL" (Trains then evaluates an agent)
session_type: TRAIN_EVAL
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
# The Stable Baselines3 learn/eval output verbosity level:
# Options are:
# "NONE" (No Output)
# "INFO" (Info Messages (such as devices and wrappers used))
# "DEBUG" (All Messages)
sb3_output_verbose_level: NONE
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -0.001
off_should_be_resetting: -0.0005
on_should_be_off: -0.0002
on_should_be_resetting: -0.0005
resetting_should_be_on: -0.0005
resetting_should_be_off: -0.0002
resetting: -0.0003
# Node Software or Service State
good_should_be_patching: 0.0002
good_should_be_compromised: 0.0005
good_should_be_overwhelmed: 0.0005
patching_should_be_good: -0.0005
patching_should_be_compromised: 0.0002
patching_should_be_overwhelmed: 0.0002
patching: -0.0003
compromised_should_be_good: -0.002
compromised_should_be_patching: -0.002
compromised_should_be_overwhelmed: -0.002
compromised: -0.002
overwhelmed_should_be_good: -0.002
overwhelmed_should_be_patching: -0.002
overwhelmed_should_be_compromised: -0.002
overwhelmed: -0.002
# Node File System State
good_should_be_repairing: 0.0002
good_should_be_restoring: 0.0002
good_should_be_corrupt: 0.0005
good_should_be_destroyed: 0.001
repairing_should_be_good: -0.0005
repairing_should_be_restoring: 0.0002
repairing_should_be_corrupt: 0.0002
repairing_should_be_destroyed: 0.0000
repairing: -0.0003
restoring_should_be_good: -0.001
restoring_should_be_repairing: -0.0002
restoring_should_be_corrupt: 0.0001
restoring_should_be_destroyed: 0.0002
restoring: -0.0006
corrupt_should_be_good: -0.001
corrupt_should_be_repairing: -0.001
corrupt_should_be_restoring: -0.001
corrupt_should_be_destroyed: 0.0002
corrupt: -0.001
destroyed_should_be_good: -0.002
destroyed_should_be_repairing: -0.002
destroyed_should_be_restoring: -0.002
destroyed_should_be_corrupt: -0.002
destroyed: -0.002
scanning: -0.0002
# IER status
red_ier_running: -0.0005
green_ier_blocked: -0.001
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

View File

@@ -1,154 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
# Training Config File
# Sets which agent algorithm framework will be used.
# Options are:
# "SB3" (Stable Baselines3)
# "RLLIB" (Ray RLlib)
# "CUSTOM" (Custom Agent)
agent_framework: SB3
# Sets which deep learning framework will be used (by RLlib ONLY).
# Default is TF (Tensorflow).
# Options are:
# "TF" (Tensorflow)
# TF2 (Tensorflow 2.X)
# TORCH (PyTorch)
deep_learning_framework: TF2
# Sets which Agent class will be used.
# Options are:
# "A2C" (Advantage Actor Critic coupled with either SB3 or RLLIB agent_framework)
# "PPO" (Proximal Policy Optimization coupled with either SB3 or RLLIB agent_framework)
# "HARDCODED" (The HardCoded agents coupled with an ACL or NODE action_type)
# "DO_NOTHING" (The DoNothing agents coupled with an ACL or NODE action_type)
# "RANDOM" (primaite.agents.simple.RandomAgent)
# "DUMMY" (primaite.agents.simple.DummyAgent)
agent_identifier: PPO
# Sets whether Red Agent POL and IER is randomised.
# Options are:
# True
# False
random_red_agent: False
# Sets what view of the environment the deterministic hardcoded agent has. The default is BASIC.
# Options are:
# "BASIC" (The current observation space only)
# "FULL" (Full environment view with actions taken and reward feedback)
hard_coded_agent_view: FULL
# Sets How the Action Space is defined:
# "NODE"
# "ACL"
# "ANY" node and acl actions
action_type: NODE
# observation space
observation_space:
# flatten: true
components:
- name: NODE_LINK_TABLE
# - name: NODE_STATUSES
# - name: LINK_TRAFFIC_LEVELS
# Number of episodes for training to run per session
num_train_episodes: 3
# Number of time_steps for training per episode
num_train_steps: 25
# Number of episodes for evaluation to run per session
num_eval_episodes: 1
# Number of time_steps for evaluation per episode
num_eval_steps: 17
# Sets how often the agent will save a checkpoint (every n time episodes).
# Set to 0 if no checkpoints are required. Default is 10
checkpoint_every_n_episodes: 0
# Time delay (milliseconds) between steps for CUSTOM agents.
time_delay: 5
# Type of session to be run. Options are:
# "TRAIN" (Trains an agent)
# "EVAL" (Evaluates an agent)
# "TRAIN_EVAL" (Trains then evaluates an agent)
session_type: TRAIN_EVAL
# Environment config values
# The high value for the observation space
observation_space_high_value: 1000000000
# The Stable Baselines3 learn/eval output verbosity level:
# Options are:
# "NONE" (No Output)
# "INFO" (Info Messages (such as devices and wrappers used))
# "DEBUG" (All Messages)
sb3_output_verbose_level: NONE
# Reward values
# Generic
all_ok: 0
# Node Hardware State
off_should_be_on: -10
off_should_be_resetting: -5
on_should_be_off: -2
on_should_be_resetting: -5
resetting_should_be_on: -5
resetting_should_be_off: -2
resetting: -3
# Node Software or Service State
good_should_be_patching: 2
good_should_be_compromised: 5
good_should_be_overwhelmed: 5
patching_should_be_good: -5
patching_should_be_compromised: 2
patching_should_be_overwhelmed: 2
patching: -3
compromised_should_be_good: -20
compromised_should_be_patching: -20
compromised_should_be_overwhelmed: -20
compromised: -20
overwhelmed_should_be_good: -20
overwhelmed_should_be_patching: -20
overwhelmed_should_be_compromised: -20
overwhelmed: -20
# Node File System State
good_should_be_repairing: 2
good_should_be_restoring: 2
good_should_be_corrupt: 5
good_should_be_destroyed: 10
repairing_should_be_good: -5
repairing_should_be_restoring: 2
repairing_should_be_corrupt: 2
repairing_should_be_destroyed: 0
repairing: -3
restoring_should_be_good: -10
restoring_should_be_repairing: -2
restoring_should_be_corrupt: 1
restoring_should_be_destroyed: 2
restoring: -6
corrupt_should_be_good: -10
corrupt_should_be_repairing: -10
corrupt_should_be_restoring: -10
corrupt_should_be_destroyed: 2
corrupt: -10
destroyed_should_be_good: -20
destroyed_should_be_repairing: -20
destroyed_should_be_restoring: -20
destroyed_should_be_corrupt: -20
destroyed: -20
scanning: -2
# IER status
red_ier_running: -5
green_ier_blocked: -10
# Patching / Reset durations
os_patching_duration: 5 # The time taken to patch the OS
node_reset_duration: 5 # The time taken to reset a node (hardware)
service_patching_duration: 5 # The time taken to patch a service
file_system_repairing_limit: 5 # The time take to repair the file system
file_system_restoring_limit: 5 # The time take to restore the file system
file_system_scanning_limit: 5 # The time taken to scan the file system

View File

@@ -11,14 +11,15 @@ import nodeenv
import pytest
from primaite import getLogger
from primaite.environment.primaite_env import Primaite
from primaite.primaite_session import PrimaiteSession
from primaite.simulator.network.container import Network
from primaite.simulator.network.networks import arcd_uc2_network
from primaite.simulator.network.transmission.transport_layer import Port
from primaite.simulator.system.applications.application import Application
from primaite.simulator.system.core.sys_log import SysLog
from primaite.simulator.system.services.service import Service
# from src.primaite.environment.primaite_env import Primaite
# from src.primaite.primaite_session import PrimaiteSession
from src.primaite.simulator.network.container import Network
from src.primaite.simulator.network.networks import arcd_uc2_network
from src.primaite.simulator.network.transmission.transport_layer import Port
from src.primaite.simulator.system.applications.application import Application
from src.primaite.simulator.system.core.sys_log import SysLog
from src.primaite.simulator.system.services.service import Service
from tests.mock_and_patch.get_session_path_mock import get_temp_session_path
ACTION_SPACE_NODE_VALUES = 1
@@ -27,8 +28,8 @@ ACTION_SPACE_NODE_ACTION_VALUES = 1
_LOGGER = getLogger(__name__)
# PrimAITE v3 stuff
from primaite.simulator.file_system.file_system import FileSystem
from primaite.simulator.network.hardware.base import Node
from src.primaite.simulator.file_system.file_system import FileSystem
from src.primaite.simulator.network.hardware.base import Node
class TestService(Service):
@@ -70,34 +71,36 @@ def file_system() -> FileSystem:
# PrimAITE v2 stuff
class TempPrimaiteSession(PrimaiteSession):
@pytest.mark.skip("Deprecated") # TODO: implement a similar test for primaite v3
class TempPrimaiteSession: # PrimaiteSession):
"""
A temporary PrimaiteSession class.
Uses context manager for deletion of files upon exit.
"""
def __init__(
self,
training_config_path: Union[str, Path],
lay_down_config_path: Union[str, Path],
):
super().__init__(training_config_path, lay_down_config_path)
self.setup()
# def __init__(
# self,
# training_config_path: Union[str, Path],
# lay_down_config_path: Union[str, Path],
# ):
# super().__init__(training_config_path, lay_down_config_path)
# self.setup()
@property
def env(self) -> Primaite:
"""Direct access to the env for ease of testing."""
return self._agent_session._env # noqa
# @property
# def env(self) -> Primaite:
# """Direct access to the env for ease of testing."""
# return self._agent_session._env # noqa
def __enter__(self):
return self
# def __enter__(self):
# return self
def __exit__(self, type, value, tb):
shutil.rmtree(self.session_path)
_LOGGER.debug(f"Deleted temp session directory: {self.session_path}")
# def __exit__(self, type, value, tb):
# shutil.rmtree(self.session_path)
# _LOGGER.debug(f"Deleted temp session directory: {self.session_path}")
@pytest.mark.skip("Deprecated") # TODO: implement a similar test for primaite v3
@pytest.fixture
def temp_primaite_session(request):
"""
@@ -118,8 +121,8 @@ def temp_primaite_session(request):
.. code:: python
from primaite.config.lay_down_config import dos_very_basic_config_path
from primaite.config.training_config import main_training_config_path
from src.primaite.config.lay_down_config import dos_very_basic_config_path
from src.primaite.config.training_config import main_training_config_path
@pytest.mark.parametrize(
"temp_primaite_session",
[
@@ -152,6 +155,7 @@ def temp_primaite_session(request):
return TempPrimaiteSession(training_config_path, lay_down_config_path)
@pytest.mark.skip("Deprecated") # TODO: implement a similar test for primaite v3
@pytest.fixture
def temp_session_path() -> Path:
"""

View File

@@ -1,8 +1,8 @@
from primaite.simulator.network.hardware.nodes.computer import Computer
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.system.applications.database_client import DatabaseClient
from primaite.simulator.system.services.database.database_service import DatabaseService
from primaite.simulator.system.services.red_services.data_manipulation_bot import DataManipulationBot
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.system.applications.database_client import DatabaseClient
from src.primaite.simulator.system.services.database.database_service import DatabaseService
from src.primaite.simulator.system.services.red_services.data_manipulation_bot import DataManipulationBot
def test_data_manipulation(uc2_network):

View File

@@ -1,11 +1,11 @@
import pytest
from primaite.simulator.core import RequestType
from primaite.simulator.network.hardware.nodes.computer import Computer
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.network.hardware.nodes.switch import Switch
from primaite.simulator.sim_container import Simulation
from primaite.simulator.system.services.database.database_service import DatabaseService
from src.primaite.simulator.core import RequestType
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.network.hardware.nodes.switch import Switch
from src.primaite.simulator.sim_container import Simulation
from src.primaite.simulator.system.services.database.database_service import DatabaseService
def test_passing_actions_down(monkeypatch) -> None:

View File

@@ -3,8 +3,8 @@ from typing import Dict, List, Literal
import pytest
from primaite.simulator.core import AllowAllValidator, RequestManager, RequestType, SimComponent
from primaite.simulator.domain.controller import AccountGroup, GroupMembershipValidator
from src.primaite.simulator.core import AllowAllValidator, RequestManager, RequestType, SimComponent
from src.primaite.simulator.domain.controller import AccountGroup, GroupMembershipValidator
@pytest.mark.skip(reason="Action validation is not currently a required feature.")

View File

@@ -0,0 +1,20 @@
from gymnasium import spaces
from src.primaite.game.agent.observations import FileObservation
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.sim_container import Simulation
def test_file_observation():
sim = Simulation()
pc = Computer(hostname="beep", ip_address="123.123.123.123", subnet_mask="255.255.255.0")
sim.network.add_node(pc)
f = pc.file_system.create_file(file_name="dog.png")
state = sim.describe_state()
dog_file_obs = FileObservation(
where=["network", "nodes", pc.uuid, "file_system", "folders", "root", "files", "dog.png"]
)
assert dog_file_obs.observe(state) == {"health_status": 1}
assert dog_file_obs.space == spaces.Dict({"health_status": spaces.Discrete(6)})

View File

@@ -1,4 +1,4 @@
from primaite.simulator.network.hardware.base import Link, NIC, Node, NodeOperatingState
from src.primaite.simulator.network.hardware.base import Link, NIC, Node, NodeOperatingState
def test_node_to_node_ping():

View File

@@ -1,4 +1,4 @@
from primaite.simulator.network.hardware.base import Link, NIC, Node, NodeOperatingState
from src.primaite.simulator.network.hardware.base import Link, NIC, Node, NodeOperatingState
def test_link_up():

View File

@@ -1,7 +1,7 @@
import pytest
from primaite.simulator.network.container import Network
from primaite.simulator.network.hardware.base import NIC, Node
from src.primaite.simulator.network.container import Network
from src.primaite.simulator.network.hardware.base import NIC, Node
def test_adding_removing_nodes():

View File

@@ -1,6 +1,6 @@
import pytest
from primaite.simulator.network.hardware.base import Link, NIC
from src.primaite.simulator.network.hardware.base import Link, NIC
def test_link_fails_with_same_nic():

View File

@@ -2,10 +2,10 @@ from typing import Tuple
import pytest
from primaite.simulator.network.hardware.base import Link, NIC, Node, NodeOperatingState
from primaite.simulator.network.hardware.nodes.router import ACLAction, Router
from primaite.simulator.network.transmission.network_layer import IPProtocol
from primaite.simulator.network.transmission.transport_layer import Port
from src.primaite.simulator.network.hardware.base import Link, NIC, Node, NodeOperatingState
from src.primaite.simulator.network.hardware.nodes.router import ACLAction, Router
from src.primaite.simulator.network.transmission.network_layer import IPProtocol
from src.primaite.simulator.network.transmission.transport_layer import Port
@pytest.fixture(scope="function")

View File

@@ -1,7 +1,7 @@
from primaite.simulator.network.hardware.base import Link, NodeOperatingState
from primaite.simulator.network.hardware.nodes.computer import Computer
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.network.hardware.nodes.switch import Switch
from src.primaite.simulator.network.hardware.base import Link, NodeOperatingState
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.network.hardware.nodes.switch import Switch
def test_switched_network():

View File

@@ -1,9 +1,9 @@
from ipaddress import IPv4Address
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.system.applications.database_client import DatabaseClient
from primaite.simulator.system.services.database.database_service import DatabaseService
from primaite.simulator.system.services.ftp.ftp_server import FTPServer
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.system.applications.database_client import DatabaseClient
from src.primaite.simulator.system.services.database.database_service import DatabaseService
from src.primaite.simulator.system.services.ftp.ftp_server import FTPServer
def test_database_client_server_connection(uc2_network):

View File

@@ -1,8 +1,8 @@
from primaite.simulator.network.hardware.nodes.computer import Computer
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.system.services.dns.dns_client import DNSClient
from primaite.simulator.system.services.dns.dns_server import DNSServer
from primaite.simulator.system.services.service import ServiceOperatingState
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.system.services.dns.dns_client import DNSClient
from src.primaite.simulator.system.services.dns.dns_server import DNSServer
from src.primaite.simulator.system.services.service import ServiceOperatingState
def test_dns_client_server(uc2_network):

View File

@@ -1,10 +1,10 @@
from ipaddress import IPv4Address
from primaite.simulator.network.hardware.nodes.computer import Computer
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.system.services.ftp.ftp_client import FTPClient
from primaite.simulator.system.services.ftp.ftp_server import FTPServer
from primaite.simulator.system.services.service import ServiceOperatingState
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.system.services.ftp.ftp_client import FTPClient
from src.primaite.simulator.system.services.ftp.ftp_server import FTPServer
from src.primaite.simulator.system.services.service import ServiceOperatingState
def test_ftp_client_store_file_in_server(uc2_network):

View File

@@ -1,9 +1,9 @@
from primaite.simulator.network.hardware.nodes.computer import Computer
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.network.protocols.http import HttpStatusCode
from primaite.simulator.system.applications.application import ApplicationOperatingState
from primaite.simulator.system.applications.web_browser import WebBrowser
from primaite.simulator.system.services.service import ServiceOperatingState
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.network.protocols.http import HttpStatusCode
from src.primaite.simulator.system.applications.application import ApplicationOperatingState
from src.primaite.simulator.system.applications.web_browser import WebBrowser
from src.primaite.simulator.system.services.service import ServiceOperatingState
def test_web_page_home_page(uc2_network):

View File

@@ -1,166 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
"""Used to tes the ACL functions."""
from primaite.acl.access_control_list import AccessControlList
from primaite.acl.acl_rule import ACLRule
from primaite.common.enums import RulePermissionType
def test_acl_address_match_1():
"""Test that matching IP addresses produce True."""
acl = AccessControlList(RulePermissionType.DENY, 10)
rule = ACLRule(RulePermissionType.ALLOW, "192.168.1.1", "192.168.1.2", "TCP", "80")
assert acl.check_address_match(rule, "192.168.1.1", "192.168.1.2") == True
def test_acl_address_match_2():
"""Test that mismatching IP addresses produce False."""
acl = AccessControlList(RulePermissionType.DENY, 10)
rule = ACLRule(RulePermissionType.ALLOW, "192.168.1.1", "192.168.1.2", "TCP", "80")
assert acl.check_address_match(rule, "192.168.1.1", "192.168.1.3") == False
def test_acl_address_match_3():
"""Test the ANY condition for source IP addresses produce True."""
acl = AccessControlList(RulePermissionType.DENY, 10)
rule = ACLRule(RulePermissionType.ALLOW, "ANY", "192.168.1.2", "TCP", "80")
assert acl.check_address_match(rule, "192.168.1.1", "192.168.1.2") == True
def test_acl_address_match_4():
"""Test the ANY condition for dest IP addresses produce True."""
acl = AccessControlList(RulePermissionType.DENY, 10)
rule = ACLRule(RulePermissionType.ALLOW, "192.168.1.1", "ANY", "TCP", "80")
assert acl.check_address_match(rule, "192.168.1.1", "192.168.1.2") == True
def test_check_acl_block_affirmative():
"""Test the block function (affirmative)."""
# Create the Access Control List
acl = AccessControlList(RulePermissionType.DENY, 10)
# Create a rule
acl_rule_permission = RulePermissionType.ALLOW
acl_rule_source = "192.168.1.1"
acl_rule_destination = "192.168.1.2"
acl_rule_protocol = "TCP"
acl_rule_port = "80"
acl_position_in_list = "0"
acl.add_rule(
acl_rule_permission,
acl_rule_source,
acl_rule_destination,
acl_rule_protocol,
acl_rule_port,
acl_position_in_list,
)
assert acl.is_blocked("192.168.1.1", "192.168.1.2", "TCP", "80") == False
def test_check_acl_block_negative():
"""Test the block function (negative)."""
# Create the Access Control List
acl = AccessControlList(RulePermissionType.DENY, 10)
# Create a rule
acl_rule_permission = RulePermissionType.DENY
acl_rule_source = "192.168.1.1"
acl_rule_destination = "192.168.1.2"
acl_rule_protocol = "TCP"
acl_rule_port = "80"
acl_position_in_list = "0"
acl.add_rule(
acl_rule_permission,
acl_rule_source,
acl_rule_destination,
acl_rule_protocol,
acl_rule_port,
acl_position_in_list,
)
assert acl.is_blocked("192.168.1.1", "192.168.1.2", "TCP", "80") == True
def test_rule_hash():
"""Test the rule hash."""
# Create the Access Control List
acl = AccessControlList(RulePermissionType.DENY, 10)
rule = ACLRule(RulePermissionType.DENY, "192.168.1.1", "192.168.1.2", "TCP", "80")
hash_value_local = hash(rule)
hash_value_remote = acl.get_dictionary_hash(RulePermissionType.DENY, "192.168.1.1", "192.168.1.2", "TCP", "80")
assert hash_value_local == hash_value_remote
def test_delete_rule():
"""Adds 3 rules and deletes 1 rule and checks its deletion."""
# Create the Access Control List
acl = AccessControlList(RulePermissionType.ALLOW, 10)
# Create a first rule
acl_rule_permission = RulePermissionType.DENY
acl_rule_source = "192.168.1.1"
acl_rule_destination = "192.168.1.2"
acl_rule_protocol = "TCP"
acl_rule_port = "80"
acl_position_in_list = "0"
acl.add_rule(
acl_rule_permission,
acl_rule_source,
acl_rule_destination,
acl_rule_protocol,
acl_rule_port,
acl_position_in_list,
)
# Create a second rule
acl_rule_permission = RulePermissionType.DENY
acl_rule_source = "20"
acl_rule_destination = "30"
acl_rule_protocol = "FTP"
acl_rule_port = "21"
acl_position_in_list = "2"
acl.add_rule(
acl_rule_permission,
acl_rule_source,
acl_rule_destination,
acl_rule_protocol,
acl_rule_port,
acl_position_in_list,
)
# Create a third rule
acl_rule_permission = RulePermissionType.ALLOW
acl_rule_source = "192.168.1.3"
acl_rule_destination = "192.168.1.1"
acl_rule_protocol = "UDP"
acl_rule_port = "60"
acl_position_in_list = "4"
acl.add_rule(
acl_rule_permission,
acl_rule_source,
acl_rule_destination,
acl_rule_protocol,
acl_rule_port,
acl_position_in_list,
)
# Remove the second ACL rule added from the list
acl.remove_rule(RulePermissionType.DENY, "20", "30", "FTP", "21")
assert len(acl.acl) == 10
assert acl.acl[2] is None

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@@ -1,122 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
"""Used to test Active Node functions."""
import pytest
from primaite.common.enums import FileSystemState, HardwareState, SoftwareState
from primaite.nodes.active_node import ActiveNode
@pytest.mark.parametrize(
"operating_state, expected_state",
[
(HardwareState.OFF, SoftwareState.GOOD),
(HardwareState.ON, SoftwareState.OVERWHELMED),
],
)
def test_os_state_change(operating_state, expected_state):
"""
Test that a node cannot change its Software State.
When its hardware state is OFF.
"""
active_node = ActiveNode(
0,
"node",
"COMPUTER",
"1",
operating_state,
"192.168.0.1",
SoftwareState.GOOD,
"GOOD",
1,
)
active_node.software_state = SoftwareState.OVERWHELMED
assert active_node.software_state == expected_state
@pytest.mark.parametrize(
"operating_state, expected_state",
[
(HardwareState.OFF, SoftwareState.GOOD),
(HardwareState.ON, SoftwareState.OVERWHELMED),
],
)
def test_os_state_change_if_not_compromised(operating_state, expected_state):
"""
Test that a node cannot change its Software State.
If not compromised) when its hardware state is OFF.
"""
active_node = ActiveNode(
0,
"node",
"COMPUTER",
"1",
operating_state,
"192.168.0.1",
SoftwareState.GOOD,
"GOOD",
1,
)
active_node.set_software_state_if_not_compromised(SoftwareState.OVERWHELMED)
assert active_node.software_state == expected_state
@pytest.mark.parametrize(
"operating_state, expected_state",
[
(HardwareState.OFF, FileSystemState.GOOD),
(HardwareState.ON, FileSystemState.CORRUPT),
],
)
def test_file_system_change(operating_state, expected_state):
"""Test that a node cannot change its file system state when its hardware state is ON."""
active_node = ActiveNode(
0,
"node",
"COMPUTER",
"1",
operating_state,
"192.168.0.1",
"COMPROMISED",
FileSystemState.GOOD,
1,
)
active_node.set_file_system_state(FileSystemState.CORRUPT)
assert active_node.file_system_state_actual == expected_state
@pytest.mark.parametrize(
"operating_state, expected_state",
[
(HardwareState.OFF, FileSystemState.GOOD),
(HardwareState.ON, FileSystemState.CORRUPT),
],
)
def test_file_system_change_if_not_compromised(operating_state, expected_state):
"""
Test that a node cannot change its file system state.
If not compromised) when its hardware state is OFF.
"""
active_node = ActiveNode(
0,
"node",
"COMPUTER",
"1",
operating_state,
"192.168.0.1",
"GOOD",
FileSystemState.GOOD,
1,
)
active_node.set_file_system_state_if_not_compromised(FileSystemState.CORRUPT)
assert active_node.file_system_state_actual == expected_state

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@@ -1,29 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import pytest
from primaite.main import run
from tests import TEST_CONFIG_ROOT
@pytest.mark.parametrize(
"legacy_file",
[
("legacy_config_1_DDOS_BASIC.yaml"),
("legacy_config_2_DDOS_BASIC.yaml"),
("legacy_config_3_DOS_VERY_BASIC.yaml"),
("legacy_config_5_DATA_MANIPULATION.yaml"),
],
)
def test_legacy_training_config_run_session(legacy_file):
"""Tests using legacy training and lay down config files in PrimAITE session end-to-end."""
legacy_training_config_path = TEST_CONFIG_ROOT / "legacy_conversion" / "legacy_training_config.yaml"
legacy_lay_down_config_path = TEST_CONFIG_ROOT / "legacy_conversion" / legacy_file
# Run a PrimAITE session using legacy training and lay down config file paths
run(
legacy_training_config_path,
legacy_lay_down_config_path,
legacy_training_config=True,
legacy_lay_down_config=True,
)

View File

@@ -1,44 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import pytest
import yaml
from primaite.config.lay_down_config import (
convert_legacy_lay_down_config,
data_manipulation_config_path,
ddos_basic_one_config_path,
ddos_basic_two_config_path,
dos_very_basic_config_path,
)
from tests import TEST_CONFIG_ROOT
@pytest.mark.parametrize(
"legacy_file, new_path",
[
("legacy_config_1_DDOS_BASIC.yaml", ddos_basic_one_config_path()),
("legacy_config_2_DDOS_BASIC.yaml", ddos_basic_two_config_path()),
("legacy_config_3_DOS_VERY_BASIC.yaml", dos_very_basic_config_path()),
("legacy_config_5_DATA_MANIPULATION.yaml", data_manipulation_config_path()),
],
)
def test_legacy_lay_down_config_load(legacy_file, new_path):
"""Tests converting legacy lay down files into the new format."""
with open(TEST_CONFIG_ROOT / "legacy_conversion" / legacy_file, "r") as file:
legacy_lay_down_config = yaml.safe_load(file)
with open(new_path, "r") as file:
new_lay_down_config = yaml.safe_load(file)
converted_lay_down_config = convert_legacy_lay_down_config(legacy_lay_down_config)
assert len(converted_lay_down_config) == len(new_lay_down_config)
for i, new_item in enumerate(new_lay_down_config):
converted_item = converted_lay_down_config[i]
for key, val in new_item.items():
if key == "position":
continue
assert key in converted_item
assert val == converted_item[key]

View File

@@ -1,377 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
"""Test env creation and behaviour with different observation spaces."""
import numpy as np
import pytest
from primaite.environment.observations import NodeLinkTable, NodeStatuses, ObservationsHandler
from tests import TEST_CONFIG_ROOT
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "obs_tests/main_config_without_obs.yaml",
TEST_CONFIG_ROOT / "obs_tests/laydown.yaml",
]
],
indirect=True,
)
def test_default_obs_space(temp_primaite_session):
"""Create environment with no obs space defined in config and check that the default obs space was created."""
with temp_primaite_session as session:
session.env.update_environent_obs()
components = session.env.obs_handler.registered_obs_components
assert len(components) == 1
assert isinstance(components[0], NodeLinkTable)
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "obs_tests/main_config_without_obs.yaml",
TEST_CONFIG_ROOT / "obs_tests/laydown.yaml",
]
],
indirect=True,
)
def test_registering_components(temp_primaite_session):
"""Test regitering and deregistering a component."""
with temp_primaite_session as session:
env = session.env
handler = ObservationsHandler()
component = NodeStatuses(env)
handler.register(component)
assert component in handler.registered_obs_components
handler.deregister(component)
assert component not in handler.registered_obs_components
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "obs_tests/main_config_NODE_LINK_TABLE.yaml",
TEST_CONFIG_ROOT / "obs_tests/laydown.yaml",
]
],
indirect=True,
)
class TestNodeLinkTable:
"""Test the NodeLinkTable observation component (in isolation)."""
def test_obs_shape(self, temp_primaite_session):
"""Try creating env with box observation space."""
with temp_primaite_session as session:
env = session.env
env.update_environent_obs()
# we have three nodes and two links, with two service
# therefore the box observation space will have:
# * 5 rows (3 nodes + 2 links)
# * 6 columns (four fixed and two for the services)
assert env.env_obs.shape == (5, 6)
def test_value(self, temp_primaite_session):
"""
Test that the observation is generated correctly.
The laydown has:
* 3 nodes (2 service nodes and 1 active node)
* 2 services
* 2 links
Both nodes have both services, and all states are GOOD, therefore the expected observation value is:
* Node 1:
* 1 (id)
* 1 (good hardware state)
* 3 (compromised OS state)
* 1 (good file system state)
* 1 (good TCP state)
* 1 (good UDP state)
* Node 2:
* 2 (id)
* 1 (good hardware state)
* 1 (good OS state)
* 1 (good file system state)
* 1 (good TCP state)
* 4 (overwhelmed UDP state)
* Node 3 (active node):
* 3 (id)
* 1 (good hardware state)
* 1 (good OS state)
* 1 (good file system state)
* 0 (doesn't have service1)
* 0 (doesn't have service2)
* Link 1:
* 4 (id)
* 0 (n/a hardware state)
* 0 (n/a OS state)
* 0 (n/a file system state)
* 999 (999 traffic for service1)
* 0 (no traffic for service2)
* Link 2:
* 5 (id)
* 0 (good hardware state)
* 0 (good OS state)
* 0 (good file system state)
* 999 (999 traffic service1)
* 0 (no traffic for service2)
"""
with temp_primaite_session as session:
env = session.env
# act = np.asarray([0,])
obs, reward, done, info = env.step(0) # apply the 'do nothing' action
assert np.array_equal(
obs,
[
[1, 1, 3, 1, 1, 1],
[2, 1, 1, 1, 1, 4],
[3, 1, 1, 1, 0, 0],
[4, 0, 0, 0, 999, 0],
[5, 0, 0, 0, 999, 0],
],
)
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "obs_tests/main_config_NODE_STATUSES.yaml",
TEST_CONFIG_ROOT / "obs_tests/laydown.yaml",
]
],
indirect=True,
)
class TestNodeStatuses:
"""Test the NodeStatuses observation component (in isolation)."""
def test_obs_shape(self, temp_primaite_session):
"""Try creating env with NodeStatuses as the only component."""
with temp_primaite_session as session:
env = session.env
assert env.env_obs.shape == (15,)
def test_values(self, temp_primaite_session):
"""
Test that the hardware and software states are encoded correctly.
The laydown has:
* one node with a compromised operating system state
* one node with two services, and the second service is overwhelmed.
* all other states are good or null
Therefore, the expected state is:
* node 1:
* hardware = good (1)
* OS = compromised (3)
* file system = good (1)
* service 1 = good (1)
* service 2 = good (1)
* node 2:
* hardware = good (1)
* OS = good (1)
* file system = good (1)
* service 1 = good (1)
* service 2 = overwhelmed (4)
* node 3 (switch):
* hardware = good (1)
* OS = good (1)
* file system = good (1)
* service 1 = n/a (0)
* service 2 = n/a (0)
"""
with temp_primaite_session as session:
env = session.env
obs, _, _, _ = env.step(0) # apply the 'do nothing' action
print(obs)
assert np.array_equal(obs, [1, 3, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 0, 0])
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "obs_tests/main_config_LINK_TRAFFIC_LEVELS.yaml",
TEST_CONFIG_ROOT / "obs_tests/laydown.yaml",
]
],
indirect=True,
)
class TestLinkTrafficLevels:
"""Test the LinkTrafficLevels observation component (in isolation)."""
def test_obs_shape(self, temp_primaite_session):
"""Try creating env with MultiDiscrete observation space."""
with temp_primaite_session as session:
env = session.env
env.update_environent_obs()
# we have two links and two services, so the shape should be 2 * 2
assert env.env_obs.shape == (2 * 2,)
def test_values(self, temp_primaite_session):
"""
Test that traffic values are encoded correctly.
The laydown has:
* two services
* three nodes
* two links
* an IER trying to send 999 bits of data over both links the whole time (via the first service)
* link bandwidth of 1000, therefore the utilisation is 99.9%
"""
with temp_primaite_session as session:
env = session.env
obs, reward, done, info = env.step(0)
obs, reward, done, info = env.step(0)
# the observation space has combine_service_traffic set to False, so the space has this format:
# [link1_service1, link1_service2, link2_service1, link2_service2]
# we send 999 bits of data via link1 and link2 on service 1.
# therefore the first and third elements should be 6 and all others 0
# (`7` corresponds to 100% utiilsation and `6` corresponds to 87.5%-100%)
assert np.array_equal(obs, [6, 0, 6, 0])
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "obs_tests/main_config_ACCESS_CONTROL_LIST.yaml",
TEST_CONFIG_ROOT / "obs_tests/laydown_ACL.yaml",
]
],
indirect=True,
)
class TestAccessControlList:
"""Test the AccessControlList observation component (in isolation)."""
def test_obs_shape(self, temp_primaite_session):
"""Try creating env with MultiDiscrete observation space.
The laydown has 3 ACL Rules - that is the maximum_acl_rules it can have.
Each ACL Rule in the observation space has 6 different elements:
6 * 3 = 18
"""
with temp_primaite_session as session:
env = session.env
env.update_environent_obs()
assert env.env_obs.shape == (18,)
def test_values(self, temp_primaite_session):
"""Test that traffic values are encoded correctly.
The laydown has:
* one ACL IMPLICIT DENY rule
Therefore, the ACL is full of NAs aka zeros and just 6 non-zero elements representing DENY ANY ANY ANY at
Position 2.
"""
with temp_primaite_session as session:
env = session.env
obs, reward, done, info = env.step(0)
obs, reward, done, info = env.step(0)
assert np.array_equal(obs, [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2])
def test_observation_space_with_implicit_rule(self, temp_primaite_session):
"""
Test observation space is what is expected when an agent adds ACLs during an episode.
At the start of the episode, there is a single implicit DENY rule
In the observation space IMPLICIT DENY: 1,1,1,1,1,0
0 shows the rule is the start (when episode began no other rules were created) so this is correct.
On Step 2, there is an ACL rule added at Position 0: 2,2,3,2,3,0
On Step 4, there is a second ACL rule added at POSITION 1: 2,4,2,3,3,1
The final observation space should be this:
[2, 2, 3, 2, 3, 0, 2, 4, 2, 3, 3, 1, 1, 1, 1, 1, 1, 2]
The ACL Rule from Step 2 is added first and has a HIGHER position than the ACL rule from Step 4
but both come before the IMPLICIT DENY which will ALWAYS be at the end of the ACL List.
"""
# TODO: Refactor this at some point to build a custom ACL Hardcoded
# Agent and then patch the AgentIdentifier Enum class so that it
# has ACL_AGENT. This then allows us to set the agent identified in
# the main config and is a bit cleaner.
with temp_primaite_session as session:
env = session.env
training_config = env.training_config
for episode in range(0, training_config.num_train_episodes):
for step in range(0, training_config.num_train_steps):
# Do nothing action
action = 0
if step == 2:
# Action to add the first ACL rule
action = 43
elif step == 4:
# Action to add the second ACL rule
action = 96
# Run the simulation step on the live environment
obs, reward, done, info = env.step(action)
# Break if done is True
if done:
break
obs = env.env_obs
assert np.array_equal(obs, [2, 2, 3, 2, 3, 0, 2, 4, 2, 3, 3, 1, 1, 1, 1, 1, 1, 2])
def test_observation_space_with_different_positions(self, temp_primaite_session):
"""
Test observation space is what is expected when an agent adds ACLs during an episode.
At the start of the episode, there is a single implicit DENY rule
In the observation space IMPLICIT DENY: 1,1,1,1,1,0
0 shows the rule is the start (when episode began no other rules were created) so this is correct.
On Step 2, there is an ACL rule added at Position 1: 2,2,3,2,3,1
On Step 4 there is a second ACL rule added at Position 0: 2,4,2,3,3,0
The final observation space should be this:
[2 , 4, 2, 3, 3, 0, 2, 2, 3, 2, 3, 1, 1, 1, 1, 1, 1, 2]
The ACL Rule from Step 2 is added before and has a LOWER position than the ACL rule from Step 4
but both come before the IMPLICIT DENY which will ALWAYS be at the end of the ACL List.
"""
# TODO: Refactor this at some point to build a custom ACL Hardcoded
# Agent and then patch the AgentIdentifier Enum class so that it
# has ACL_AGENT. This then allows us to set the agent identified in
# the main config and is a bit cleaner.
with temp_primaite_session as session:
env = session.env
training_config = env.training_config
for episode in range(0, training_config.num_train_episodes):
for step in range(0, training_config.num_train_steps):
# Do nothing action
action = 0
if step == 2:
# Action to add the first ACL rule
action = 44
elif step == 4:
# Action to add the second ACL rule
action = 95
# Run the simulation step on the live environment
obs, reward, done, info = env.step(action)
# Break if done is True
if done:
break
obs = env.env_obs
assert np.array_equal(obs, [2, 4, 2, 3, 3, 0, 2, 2, 3, 2, 3, 1, 1, 1, 1, 1, 1, 2])

View File

@@ -1,77 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import os
import pytest
from primaite import getLogger
from primaite.config.lay_down_config import dos_very_basic_config_path
from tests import TEST_CONFIG_ROOT
_LOGGER = getLogger(__name__)
@pytest.mark.parametrize(
"temp_primaite_session",
[
# [TEST_CONFIG_ROOT / "session_test/training_config_main_rllib.yaml", dos_very_basic_config_path()],
[TEST_CONFIG_ROOT / "session_test/training_config_main_sb3.yaml", dos_very_basic_config_path()],
],
indirect=True,
)
def test_primaite_session(temp_primaite_session):
"""
Tests the PrimaiteSession class and all of its outputs.
This test runs for both a Stable Baselines3 agent, and a Ray RLlib agent.
"""
with temp_primaite_session as session:
session_path = session.session_path
assert session_path.exists()
session.learn()
# Learning outputs are saved in session.learning_path
session.evaluate()
# Evaluation outputs are saved in session.evaluation_path
# If you need to inspect any session outputs, it must be done inside
# the context manager
# Check that the metadata json file exists
assert (session_path / "session_metadata.json").exists()
# Check that the network png file exists
assert (session_path / f"network_{session.timestamp_str}.png").exists()
# Check that the saved agent exists
assert session._agent_session._saved_agent_path.exists()
# Check that both the transactions and av reward csv files exist
for file in session.learning_path.iterdir():
if file.suffix == ".csv":
assert "all_transactions" in file.name or "average_reward_per_episode" in file.name
# Check that both the transactions and av reward csv files exist
for file in session.evaluation_path.iterdir():
if file.suffix == ".csv":
assert "all_transactions" in file.name or "average_reward_per_episode" in file.name
# Check that the average reward per episode plots exist
assert (session.learning_path / f"average_reward_per_episode_{session.timestamp_str}.png").exists()
assert (session.evaluation_path / f"average_reward_per_episode_{session.timestamp_str}.png").exists()
# Check that the metadata has captured the correct number of learning and eval episodes and steps
assert len(session.learn_av_reward_per_episode_dict().keys()) == 10
assert len(session.learn_all_transactions_dict().keys()) == 10 * 256
assert len(session.eval_av_reward_per_episode_dict().keys()) == 3
assert len(session.eval_all_transactions_dict().keys()) == 3 * 256
_LOGGER.debug("Inspecting files in temp session path...")
for dir_path, dir_names, file_names in os.walk(session_path):
for file in file_names:
path = os.path.join(dir_path, file)
file_str = path.split(str(session_path))[-1]
_LOGGER.debug(f" {file_str}")
# Now that we've exited the context manager, the session.session_path
# directory and its contents are deleted
assert not session_path.exists()

View File

@@ -1,39 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import pytest
from primaite.config.lay_down_config import data_manipulation_config_path
from primaite.nodes.node_state_instruction_red import NodeStateInstructionRed
from tests import TEST_CONFIG_ROOT
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "test_random_red_main_config.yaml",
data_manipulation_config_path(),
]
],
indirect=True,
)
def test_random_red_agent_behaviour(temp_primaite_session):
"""Test that red agent POL is randomised each episode."""
list_of_node_instructions = []
with temp_primaite_session as session:
session.evaluate()
list_of_node_instructions.append(session.env.red_node_pol)
session.evaluate()
list_of_node_instructions.append(session.env.red_node_pol)
# compare instructions to make sure that red instructions are truly random
for index, instruction in enumerate(list_of_node_instructions):
for key in list_of_node_instructions[index].keys():
instruction: NodeStateInstructionRed = list_of_node_instructions[index][key]
print(f"run {index}")
print(f"{key} start step: {instruction.get_start_step()}")
print(f"{key} end step: {instruction.get_end_step()}")
print(f"{key} target node id: {instruction.get_target_node_id()}")
print("")
assert list_of_node_instructions[0].__ne__(list_of_node_instructions[1])

View File

@@ -1,86 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
"""Used to test Active Node functions."""
import pytest
from primaite.common.enums import FileSystemState, HardwareState, NodeType, Priority, SoftwareState
from primaite.common.service import Service
from primaite.config.training_config import TrainingConfig
from primaite.nodes.active_node import ActiveNode
from primaite.nodes.service_node import ServiceNode
@pytest.mark.parametrize(
"starting_operating_state, expected_operating_state",
[(HardwareState.RESETTING, HardwareState.ON)],
)
def test_node_resets_correctly(starting_operating_state, expected_operating_state):
"""Tests that a node resets correctly."""
active_node = ActiveNode(
node_id="0",
name="node",
node_type=NodeType.COMPUTER,
priority=Priority.P1,
hardware_state=starting_operating_state,
ip_address="192.168.0.1",
software_state=SoftwareState.COMPROMISED,
file_system_state=FileSystemState.CORRUPT,
config_values=TrainingConfig(),
)
for x in range(5):
active_node.update_resetting_status()
assert active_node.software_state == SoftwareState.GOOD
assert active_node.file_system_state_actual == FileSystemState.GOOD
assert active_node.hardware_state == expected_operating_state
@pytest.mark.parametrize(
"operating_state, expected_operating_state",
[(HardwareState.BOOTING, HardwareState.ON)],
)
def test_node_boots_correctly(operating_state, expected_operating_state):
"""Tests that a node boots correctly."""
service_node = ServiceNode(
node_id=0,
name="node",
node_type="COMPUTER",
priority="1",
hardware_state=operating_state,
ip_address="192.168.0.1",
software_state=SoftwareState.GOOD,
file_system_state="GOOD",
config_values=1,
)
service_attributes = Service(name="node", port="80", software_state=SoftwareState.COMPROMISED)
service_node.add_service(service_attributes)
for x in range(5):
service_node.update_booting_status()
assert service_attributes.software_state == SoftwareState.GOOD
assert service_node.hardware_state == expected_operating_state
@pytest.mark.parametrize(
"operating_state, expected_operating_state",
[(HardwareState.SHUTTING_DOWN, HardwareState.OFF)],
)
def test_node_shutdown_correctly(operating_state, expected_operating_state):
"""Tests that a node shutdown correctly."""
active_node = ActiveNode(
node_id=0,
name="node",
node_type="COMPUTER",
priority="1",
hardware_state=operating_state,
ip_address="192.168.0.1",
software_state=SoftwareState.GOOD,
file_system_state="GOOD",
config_values=1,
)
for x in range(5):
active_node.update_shutdown_status()
assert active_node.hardware_state == expected_operating_state

View File

@@ -1,53 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import pytest
from primaite import getLogger
from tests import TEST_CONFIG_ROOT
_LOGGER = getLogger(__name__)
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "one_node_states_on_off_main_config.yaml",
TEST_CONFIG_ROOT / "one_node_states_on_off_lay_down_config.yaml",
]
],
indirect=True,
)
def test_rewards_are_being_penalised_at_each_step_function(
temp_primaite_session,
):
"""
Test that hardware state is penalised at each step.
When the initial state is OFF compared to reference state which is ON.
The config 'one_node_states_on_off_lay_down_config.yaml' has 15 steps:
On different steps, the laydown config has Pattern of Life (PoLs) which change a state of the node's attribute.
For example, turning the nodes' file system state to CORRUPT from its original state GOOD.
As a result these are the following rewards are activated:
File System State: corrupt_should_be_good = -10 * 2 (on Steps 1 & 2)
Hardware State: off_should_be_on = -10 * 2 (on Steps 4 & 5)
Service State: compromised_should_be_good = -20 * 2 (on Steps 7 & 8)
Software State: compromised_should_be_good = -20 * 2 (on Steps 10 & 11)
The Pattern of Life (PoLs) last for 2 steps, so the agent is penalised twice.
Note: This test run inherits from conftest.py where the PrimAITE environment is ran and the blue agent is hard-coded
to do NOTHING on every step.
We use Pattern of Lifes (PoLs) to change the nodes states and display that the agent is being penalised on all steps
where the live network node differs from the network reference node.
Total Reward: -10 + -10 + -10 + -10 + -20 + -20 + -20 + -20 = -120
Step Count: 15
For the 4 steps where this occurs the average reward is:
Average Reward: -8 (-120 / 15)
"""
with temp_primaite_session as session:
session.evaluate()
ev_rewards = session.eval_av_reward_per_episode_dict()
assert ev_rewards[1] == -8.0

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@@ -1,64 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import pytest as pytest
from primaite.config.lay_down_config import dos_very_basic_config_path
from tests import TEST_CONFIG_ROOT
@pytest.mark.parametrize(
"temp_primaite_session",
[[TEST_CONFIG_ROOT / "ppo_seeded_training_config.yaml", dos_very_basic_config_path()]],
indirect=True,
)
def test_seeded_learning(temp_primaite_session):
"""
Test running seeded learning produces the same output when ran twice.
.. note::
If this is failing, the hard-coded expected_mean_reward_per_episode
from a pre-trained agent will probably need to be updated. If the
env changes and those changed how this agent is trained, chances are
the mean rewards are going to be different.
Run the test, but print out the session.learn_av_reward_per_episode()
before comparing it. Then copy the printed dict and replace the
expected_mean_reward_per_episode with those values. The test should
now work. If not, then you've got a bug :).
"""
expected_mean_reward_per_episode = {
1: -20.7421875,
2: -19.82421875,
3: -17.01171875,
4: -19.08203125,
5: -21.93359375,
6: -20.21484375,
7: -15.546875,
8: -12.08984375,
9: -17.59765625,
10: -14.6875,
}
with temp_primaite_session as session:
assert (
session._training_config.seed == 67890
), "Expected output is based upon a agent that was trained with seed 67890"
session.learn()
actual_mean_reward_per_episode = session.learn_av_reward_per_episode_dict()
assert actual_mean_reward_per_episode == expected_mean_reward_per_episode
@pytest.mark.parametrize(
"temp_primaite_session",
[[TEST_CONFIG_ROOT / "ppo_seeded_training_config.yaml", dos_very_basic_config_path()]],
indirect=True,
)
def test_deterministic_evaluation(temp_primaite_session):
"""Test running deterministic evaluation gives same av eward per episode."""
with temp_primaite_session as session:
# do stuff
session.learn()
session.evaluate()
eval_mean_reward = session.eval_av_reward_per_episode_dict()
assert len(set(eval_mean_reward.values())) == 1

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@@ -1,71 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
"""Used to test Service Node functions."""
import pytest
from primaite.common.enums import HardwareState, SoftwareState
from primaite.common.service import Service
from primaite.nodes.service_node import ServiceNode
@pytest.mark.parametrize(
"operating_state, expected_state",
[
(HardwareState.OFF, SoftwareState.GOOD),
(HardwareState.ON, SoftwareState.OVERWHELMED),
],
)
def test_service_state_change(operating_state, expected_state):
"""
Test that a node cannot change the state of a running service.
When its hardware state is OFF.
"""
service_node = ServiceNode(
0,
"node",
"COMPUTER",
"1",
operating_state,
"192.168.0.1",
"COMPROMISED",
"RESTORING",
1,
)
service = Service("TCP", 80, SoftwareState.GOOD)
service_node.add_service(service)
service_node.set_service_state("TCP", SoftwareState.OVERWHELMED)
assert service_node.get_service_state("TCP") == expected_state
@pytest.mark.parametrize(
"operating_state, expected_state",
[
(HardwareState.OFF, SoftwareState.GOOD),
(HardwareState.ON, SoftwareState.OVERWHELMED),
],
)
def test_service_state_change_if_not_comprised(operating_state, expected_state):
"""
Test that a node cannot change the state of a running service.
If not compromised when its hardware state is ON.
"""
service_node = ServiceNode(
0,
"node",
"COMPUTER",
"1",
operating_state,
"192.168.0.1",
"GOOD",
"RESTORING",
1,
)
service = Service("TCP", 80, SoftwareState.GOOD)
service_node.add_service(service)
service_node.set_service_state_if_not_compromised("TCP", SoftwareState.OVERWHELMED)
assert service_node.get_service_state("TCP") == expected_state

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@@ -1,187 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import os.path
import shutil
import tempfile
from pathlib import Path
from typing import Union
from uuid import uuid4
from typer.testing import CliRunner
from primaite import getLogger
from primaite.agents.sb3 import SB3Agent
from primaite.cli import app
from primaite.common.enums import AgentFramework, AgentIdentifier
from primaite.main import run
from primaite.primaite_session import PrimaiteSession
from primaite.utils.session_output_reader import av_rewards_dict
from tests import TEST_ASSETS_ROOT
_LOGGER = getLogger(__name__)
runner = CliRunner()
sb3_expected_avg_reward_per_episode = {
10: 0.0,
11: -0.0011074218750000008,
12: -0.0010000000000000007,
13: -0.0016601562500000013,
14: -0.001400390625000001,
15: -0.0009863281250000007,
16: -0.0011855468750000008,
17: -0.0009511718750000007,
18: -0.0008789062500000007,
19: -0.0012226562500000009,
20: -0.0010292968750000007,
}
sb3_expected_eval_rewards = -0.0018515625000000014
def copy_session_asset(asset_path: Union[str, Path]) -> str:
"""Copies the asset into a temporary test folder."""
if asset_path is None:
raise Exception("No path provided")
if isinstance(asset_path, Path):
asset_path = str(os.path.normpath(asset_path))
copy_path = str(Path(tempfile.gettempdir()) / "primaite" / str(uuid4()))
# copy the asset into a temp path
try:
shutil.copytree(asset_path, copy_path)
except Exception as e:
msg = f"Unable to copy directory: {asset_path}"
_LOGGER.error(msg, e)
print(msg, e)
_LOGGER.debug(f"Copied test asset to: {copy_path}")
# return the copied assets path
return copy_path
def test_load_sb3_session():
"""Test that loading an SB3 agent works."""
test_path = copy_session_asset(TEST_ASSETS_ROOT / "example_sb3_agent_session")
loaded_agent = SB3Agent(session_path=test_path)
# loaded agent should have the same UUID as the previous agent
assert loaded_agent.uuid == "301874d3-2e14-43c2-ba7f-e2b03ad05dde"
assert loaded_agent._training_config.agent_framework == AgentFramework.SB3.name
assert loaded_agent._training_config.agent_identifier == AgentIdentifier.PPO.name
assert loaded_agent._training_config.deterministic
assert loaded_agent._training_config.seed == 12345
assert str(loaded_agent.session_path) == str(test_path)
# run another learn session
loaded_agent.learn()
learn_mean_rewards = av_rewards_dict(
loaded_agent.learning_path / f"average_reward_per_episode_{loaded_agent.timestamp_str}.csv"
)
# run is seeded so should have the expected learn value
assert learn_mean_rewards == sb3_expected_avg_reward_per_episode
# run an evaluation
loaded_agent.evaluate()
# load the evaluation average reward csv file
eval_mean_reward = av_rewards_dict(
loaded_agent.evaluation_path / f"average_reward_per_episode_{loaded_agent.timestamp_str}.csv"
)
# the agent config ran the evaluation in deterministic mode, so should have the same reward value
assert len(set(eval_mean_reward.values())) == 1
# the evaluation should be the same as a previous run
assert next(iter(set(eval_mean_reward.values()))) == sb3_expected_eval_rewards
# delete the test directory
shutil.rmtree(test_path)
def test_load_primaite_session():
"""Test that loading a Primaite session works."""
test_path = copy_session_asset(TEST_ASSETS_ROOT / "example_sb3_agent_session")
# create loaded session
session = PrimaiteSession(session_path=test_path)
# run setup on session
session.setup()
# make sure that the session was loaded correctly
assert session._agent_session.uuid == "301874d3-2e14-43c2-ba7f-e2b03ad05dde"
assert session._agent_session._training_config.agent_framework == AgentFramework.SB3.name
assert session._agent_session._training_config.agent_identifier == AgentIdentifier.PPO.name
assert session._agent_session._training_config.deterministic
assert session._agent_session._training_config.seed == 12345
assert str(session._agent_session.session_path) == str(test_path)
# run another learn session
session.learn()
learn_mean_rewards = av_rewards_dict(
session.learning_path / f"average_reward_per_episode_{session.timestamp_str}.csv"
)
# run is seeded so should have the expected learn value
assert learn_mean_rewards == sb3_expected_avg_reward_per_episode
# run an evaluation
session.evaluate()
# load the evaluation average reward csv file
eval_mean_reward = av_rewards_dict(
session.evaluation_path / f"average_reward_per_episode_{session.timestamp_str}.csv"
)
# the agent config ran the evaluation in deterministic mode, so should have the same reward value
assert len(set(eval_mean_reward.values())) == 1
# the evaluation should be the same as a previous run
assert next(iter(set(eval_mean_reward.values()))) == sb3_expected_eval_rewards
# delete the test directory
shutil.rmtree(test_path)
def test_run_loading():
"""Test loading session via main.run."""
test_path = copy_session_asset(TEST_ASSETS_ROOT / "example_sb3_agent_session")
# create loaded session
run(session_path=test_path)
learn_mean_rewards = av_rewards_dict(
next(Path(test_path).rglob("**/learning/average_reward_per_episode_*.csv"), None)
)
# run is seeded so should have the expected learn value
assert learn_mean_rewards == sb3_expected_avg_reward_per_episode
# delete the test directory
shutil.rmtree(test_path)
def test_cli():
"""Test loading session via CLI."""
test_path = copy_session_asset(TEST_ASSETS_ROOT / "example_sb3_agent_session")
result = runner.invoke(app, ["session", "--load", test_path])
# cli should work
assert result.exit_code == 0
learn_mean_rewards = av_rewards_dict(
next(Path(test_path).rglob("**/learning/average_reward_per_episode_*.csv"), None)
)
# run is seeded so should have the expected learn value
assert learn_mean_rewards == sb3_expected_avg_reward_per_episode
# delete the test directory
shutil.rmtree(test_path)

View File

@@ -1,129 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import time
import pytest
from primaite.acl.acl_rule import ACLRule
from primaite.common.enums import HardwareState
from primaite.environment.primaite_env import Primaite
from tests import TEST_CONFIG_ROOT
def run_generic_set_actions(env: Primaite):
"""Run against a generic agent with specified blue agent actions."""
# Reset the environment at the start of the episode
# env.reset()
training_config = env.training_config
for episode in range(0, training_config.num_train_episodes):
for step in range(0, training_config.num_train_steps):
# Send the observation space to the agent to get an action
# TEMP - random action for now
# action = env.blue_agent_action(obs)
action = 0
# print("Episode:", episode, "\nStep:", step)
if step == 5:
# [1, 1, 2, 1, 1, 1, 1(position)]
# Creates an ACL rule
# Allows traffic from server_1 to node_1 on port FTP
action = 56
elif step == 7:
# [1, 1, 2, 0] Node Action
# Sets Node 1 Hardware State to OFF
# Does not resolve any service
action = 128
# Run the simulation step on the live environment
obs, reward, done, info = env.step(action)
# Break if done is True
if done:
break
# Introduce a delay between steps
time.sleep(training_config.time_delay / 1000)
# Reset the environment at the end of the episode
# env.reset()
# env.close()
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "single_action_space_main_config.yaml",
TEST_CONFIG_ROOT / "single_action_space_lay_down_config.yaml",
]
],
indirect=True,
)
def test_single_action_space_is_valid(temp_primaite_session):
"""Test single action space is valid."""
# TODO: Refactor this at some point to build a custom ACL Hardcoded
# Agent and then patch the AgentIdentifier Enum class so that it
# has ACL_AGENT. This then allows us to set the agent identified in
# the main config and is a bit cleaner.
with temp_primaite_session as session:
env = session.env
run_generic_set_actions(env)
# Retrieve the action space dictionary values from environment
env_action_space_dict = env.action_dict.values()
# Flags to check the conditions of the action space
contains_acl_actions = False
contains_node_actions = False
both_action_spaces = False
# Loop through each element of the list (which is every value from the dictionary)
for dict_item in env_action_space_dict:
# Node action detected
if len(dict_item) == 4:
contains_node_actions = True
# Link action detected
elif len(dict_item) == 7:
contains_acl_actions = True
# If both are there then the ANY action type is working
if contains_node_actions and contains_acl_actions:
both_action_spaces = True
# Check condition should be True
assert both_action_spaces
@pytest.mark.parametrize(
"temp_primaite_session",
[
[
TEST_CONFIG_ROOT / "single_action_space_fixed_blue_actions_main_config.yaml",
TEST_CONFIG_ROOT / "single_action_space_lay_down_config.yaml",
]
],
indirect=True,
)
def test_agent_is_executing_actions_from_both_spaces(temp_primaite_session):
"""Test to ensure the blue agent is carrying out both kinds of operations (NODE & ACL)."""
# TODO: Refactor this at some point to build a custom ACL Hardcoded
# Agent and then patch the AgentIdentifier Enum class so that it
# has ACL_AGENT. This then allows us to set the agent identified in
# the main config and is a bit cleaner.
with temp_primaite_session as session:
env = session.env
# Run environment with specified fixed blue agent actions only
run_generic_set_actions(env)
# Retrieve hardware state of computer_1 node in laydown config
# Agent turned this off in Step 5
computer_node_hardware_state = env.nodes["1"].hardware_state
# Retrieve the Access Control List object stored by the environment at the end of the episode
access_control_list = env.acl
# Use the Access Control List object acl object attribute to get dictionary
# Use dictionary.values() to get total list of all items in the dictionary
acl_rules_list = access_control_list.acl
# Length of this list tells you how many items are in the dictionary
# This number is the frequency of Access Control Rules in the environment
# In the scenario, we specified that the agent should create only 1 acl rule
# This 1 rule added to the implicit deny means there should be 2 rules in total.
rules_count = 0
for rule in acl_rules_list:
if isinstance(rule, ACLRule):
rules_count += 1
# Therefore these statements below MUST be true
assert computer_node_hardware_state == HardwareState.OFF
assert rules_count == 2

View File

@@ -1,43 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import pytest
from primaite import getLogger
from primaite.config.lay_down_config import dos_very_basic_config_path
from tests import TEST_CONFIG_ROOT
_LOGGER = getLogger(__name__)
@pytest.mark.parametrize(
"temp_primaite_session",
[[TEST_CONFIG_ROOT / "train_episode_step.yaml", dos_very_basic_config_path()]],
indirect=True,
)
def test_eval_steps_differ_from_training(temp_primaite_session):
"""Uses PrimaiteSession class to compare number of episodes used for training and evaluation.
Train_episode_step.yaml main config:
num_train_steps = 25
num_train_episodes = 3
num_eval_steps = 17
num_eval_episodes = 1
"""
expected_learning_metadata = {"total_episodes": 3, "total_time_steps": 75}
expected_evaluation_metadata = {"total_episodes": 1, "total_time_steps": 17}
with temp_primaite_session as session:
# Run learning and check episode and step counts
session.learn()
assert session.env.actual_episode_count == expected_learning_metadata["total_episodes"]
assert session.env.total_step_count == expected_learning_metadata["total_time_steps"]
# Run evaluation and check episode and step counts
session.evaluate()
assert session.env.actual_episode_count == expected_evaluation_metadata["total_episodes"]
assert session.env.total_step_count == expected_evaluation_metadata["total_time_steps"]
# Load the session_metadata.json file and check that the both the
# learning and evaluation match what is expected above
metadata = session.metadata_file_as_dict()
assert metadata["learning"] == expected_learning_metadata
assert metadata["evaluation"] == expected_evaluation_metadata

View File

@@ -1,36 +0,0 @@
# © Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
import yaml
from primaite.config import training_config
from tests import TEST_CONFIG_ROOT
def test_legacy_lay_down_config_yaml_conversion():
"""Tests the conversion of legacy lay down config files."""
legacy_path = TEST_CONFIG_ROOT / "legacy_conversion" / "legacy_training_config.yaml"
new_path = TEST_CONFIG_ROOT / "legacy_conversion" / "new_training_config.yaml"
with open(legacy_path, "r") as file:
legacy_dict = yaml.safe_load(file)
with open(new_path, "r") as file:
new_dict = yaml.safe_load(file)
converted_dict = training_config.convert_legacy_training_config_dict(legacy_dict)
for key, value in new_dict.items():
assert converted_dict[key] == value
def test_create_config_values_main_from_file():
"""Tests creating an instance of TrainingConfig from file."""
new_path = TEST_CONFIG_ROOT / "legacy_conversion" / "new_training_config.yaml"
training_config.load(new_path)
def test_create_config_values_main_from_legacy_file():
"""Tests creating an instance of TrainingConfig from legacy file."""
new_path = TEST_CONFIG_ROOT / "legacy_conversion" / "legacy_training_config.yaml"
training_config.load(new_path, legacy_file=True)

View File

@@ -1,5 +1,5 @@
"""Test the account module of the simulator."""
from primaite.simulator.domain.account import Account, AccountType
from src.primaite.simulator.domain.account import Account, AccountType
def test_account_serialise():

View File

@@ -1,6 +1,6 @@
from primaite.simulator.file_system.file import File
from primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from primaite.simulator.file_system.file_type import FileType
from src.primaite.simulator.file_system.file import File
from src.primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from src.primaite.simulator.file_system.file_type import FileType
def test_create_file_no_extension(file_system):

View File

@@ -2,8 +2,10 @@ from typing import Tuple
import pytest
from primaite.simulator.file_system.file_system import File, FileSystem, Folder
from primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from src.primaite.simulator.file_system.file import File
from src.primaite.simulator.file_system.file_system import FileSystem
from src.primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from src.primaite.simulator.file_system.folder import Folder
@pytest.fixture(scope="function")

View File

@@ -1,9 +1,7 @@
import pytest
from primaite.simulator.file_system.file import File
from primaite.simulator.file_system.file_system import FileSystem
from primaite.simulator.file_system.file_type import FileType
from primaite.simulator.file_system.folder import Folder
from src.primaite.simulator.file_system.file_system import FileSystem
from src.primaite.simulator.file_system.file_type import FileType
def test_create_folder_and_file(file_system):

View File

@@ -2,8 +2,9 @@ from typing import Tuple
import pytest
from primaite.simulator.file_system.file_system import File, FileSystem, Folder
from primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from src.primaite.simulator.file_system.file import File
from src.primaite.simulator.file_system.file_system import FileSystem
from src.primaite.simulator.file_system.folder import Folder
@pytest.fixture(scope="function")

View File

@@ -1,8 +1,8 @@
import pytest
from primaite.simulator.file_system.file import File
from primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from primaite.simulator.file_system.folder import Folder
from src.primaite.simulator.file_system.file import File
from src.primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from src.primaite.simulator.file_system.folder import Folder
@pytest.mark.skip(reason="Implementation for quarantine not needed yet")

View File

@@ -2,8 +2,10 @@ from typing import Tuple
import pytest
from primaite.simulator.file_system.file_system import File, FileSystem, Folder
from primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from src.primaite.simulator.file_system.file import File
from src.primaite.simulator.file_system.file_system import FileSystem
from src.primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from src.primaite.simulator.file_system.folder import Folder
@pytest.fixture(scope="function")

View File

@@ -1,8 +1,8 @@
from ipaddress import IPv4Address
from primaite.simulator.network.hardware.nodes.router import ACLAction, Router
from primaite.simulator.network.transmission.network_layer import IPProtocol
from primaite.simulator.network.transmission.transport_layer import Port
from src.primaite.simulator.network.hardware.nodes.router import ACLAction, Router
from src.primaite.simulator.network.transmission.network_layer import IPProtocol
from src.primaite.simulator.network.transmission.transport_layer import Port
def test_add_rule():

View File

@@ -3,7 +3,7 @@ from ipaddress import IPv4Address
import pytest
from primaite.simulator.network.hardware.base import generate_mac_address, NIC
from src.primaite.simulator.network.hardware.base import generate_mac_address, NIC
def test_mac_address_generation():

View File

@@ -3,7 +3,7 @@ from ipaddress import IPv4Address
import pytest
from primaite.simulator.network.hardware.base import Node
from src.primaite.simulator.network.hardware.base import Node
def test_node_creation():

View File

@@ -1,12 +1,10 @@
import pytest
from primaite.simulator.file_system.file_system import File, Folder
from primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from primaite.simulator.network.hardware.base import Node, NodeOperatingState
from primaite.simulator.system.applications.application import Application
from primaite.simulator.system.processes.process import Process
from primaite.simulator.system.services.service import Service
from primaite.simulator.system.software import SoftwareHealthState
from src.primaite.simulator.file_system.file import File
from src.primaite.simulator.file_system.file_system_item_abc import FileSystemItemHealthStatus
from src.primaite.simulator.file_system.folder import Folder
from src.primaite.simulator.network.hardware.base import Node, NodeOperatingState
from src.primaite.simulator.system.software import SoftwareHealthState
@pytest.fixture

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@@ -1,9 +1,9 @@
import pytest
from primaite.simulator.network.transmission.data_link_layer import EthernetHeader, Frame
from primaite.simulator.network.transmission.network_layer import ICMPPacket, IPPacket, IPProtocol, Precedence
from primaite.simulator.network.transmission.primaite_layer import AgentSource, DataStatus
from primaite.simulator.network.transmission.transport_layer import Port, TCPFlags, TCPHeader, UDPHeader
from src.primaite.simulator.network.transmission.data_link_layer import EthernetHeader, Frame
from src.primaite.simulator.network.transmission.network_layer import ICMPPacket, IPPacket, IPProtocol, Precedence
from src.primaite.simulator.network.transmission.primaite_layer import AgentSource, DataStatus
from src.primaite.simulator.network.transmission.transport_layer import Port, TCPFlags, TCPHeader, UDPHeader
def test_frame_minimal_instantiation():

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@@ -1,6 +1,6 @@
import pytest
from primaite.simulator.network.transmission.network_layer import ICMPPacket, ICMPType
from src.primaite.simulator.network.transmission.network_layer import ICMPPacket, ICMPType
def test_icmp_minimal_header_creation():

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@@ -2,7 +2,7 @@ import json
import pytest
from primaite.simulator.network.container import Network
from src.primaite.simulator.network.container import Network
def test_creating_container():

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@@ -1,10 +1,10 @@
import pytest
from primaite.simulator.network.hardware.nodes.computer import Computer
from primaite.simulator.network.protocols.http import HttpResponsePacket, HttpStatusCode
from primaite.simulator.network.transmission.network_layer import IPProtocol
from primaite.simulator.network.transmission.transport_layer import Port
from primaite.simulator.system.applications.web_browser import WebBrowser
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.network.protocols.http import HttpResponsePacket, HttpStatusCode
from src.primaite.simulator.network.transmission.network_layer import IPProtocol
from src.primaite.simulator.network.transmission.transport_layer import Port
from src.primaite.simulator.system.applications.web_browser import WebBrowser
@pytest.fixture(scope="function")

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@@ -1,10 +1,10 @@
from ipaddress import IPv4Address
from primaite.simulator.network.hardware.base import Node
from primaite.simulator.network.networks import arcd_uc2_network
from primaite.simulator.network.transmission.network_layer import IPProtocol
from primaite.simulator.network.transmission.transport_layer import Port
from primaite.simulator.system.services.red_services.data_manipulation_bot import DataManipulationBot
from src.primaite.simulator.network.hardware.base import Node
from src.primaite.simulator.network.networks import arcd_uc2_network
from src.primaite.simulator.network.transmission.network_layer import IPProtocol
from src.primaite.simulator.network.transmission.transport_layer import Port
from src.primaite.simulator.system.services.red_services.data_manipulation_bot import DataManipulationBot
def test_creation():

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@@ -1,7 +1,7 @@
import pytest
from primaite.simulator.network.hardware.base import Node
from primaite.simulator.system.services.database.database_service import DatabaseService
from src.primaite.simulator.network.hardware.base import Node
from src.primaite.simulator.system.services.database.database_service import DatabaseService
@pytest.fixture(scope="function")

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@@ -2,14 +2,14 @@ from ipaddress import IPv4Address
import pytest
from primaite.simulator.network.hardware.base import Node
from primaite.simulator.network.hardware.nodes.computer import Computer
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.network.protocols.dns import DNSPacket, DNSReply, DNSRequest
from primaite.simulator.network.transmission.network_layer import IPProtocol
from primaite.simulator.network.transmission.transport_layer import Port
from primaite.simulator.system.services.dns.dns_client import DNSClient
from primaite.simulator.system.services.dns.dns_server import DNSServer
from src.primaite.simulator.network.hardware.base import Node
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.network.protocols.dns import DNSPacket, DNSReply, DNSRequest
from src.primaite.simulator.network.transmission.network_layer import IPProtocol
from src.primaite.simulator.network.transmission.transport_layer import Port
from src.primaite.simulator.system.services.dns.dns_client import DNSClient
from src.primaite.simulator.system.services.dns.dns_server import DNSServer
@pytest.fixture(scope="function")

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@@ -2,14 +2,14 @@ from ipaddress import IPv4Address
import pytest
from primaite.simulator.network.hardware.base import Node
from primaite.simulator.network.hardware.nodes.computer import Computer
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.network.protocols.ftp import FTPCommand, FTPPacket, FTPStatusCode
from primaite.simulator.network.transmission.network_layer import IPProtocol
from primaite.simulator.network.transmission.transport_layer import Port
from primaite.simulator.system.services.ftp.ftp_client import FTPClient
from primaite.simulator.system.services.ftp.ftp_server import FTPServer
from src.primaite.simulator.network.hardware.base import Node
from src.primaite.simulator.network.hardware.nodes.computer import Computer
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.network.protocols.ftp import FTPCommand, FTPPacket, FTPStatusCode
from src.primaite.simulator.network.transmission.network_layer import IPProtocol
from src.primaite.simulator.network.transmission.transport_layer import Port
from src.primaite.simulator.system.services.ftp.ftp_client import FTPClient
from src.primaite.simulator.system.services.ftp.ftp_server import FTPServer
@pytest.fixture(scope="function")

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@@ -1,5 +1,5 @@
from primaite.simulator.system.services.service import ServiceOperatingState
from primaite.simulator.system.software import SoftwareHealthState
from src.primaite.simulator.system.services.service import ServiceOperatingState
from src.primaite.simulator.system.software import SoftwareHealthState
def test_service_scan(service):

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@@ -1,5 +1,5 @@
from primaite.simulator.system.services.service import ServiceOperatingState
from primaite.simulator.system.software import SoftwareHealthState
from src.primaite.simulator.system.services.service import ServiceOperatingState
from src.primaite.simulator.system.software import SoftwareHealthState
def test_scan(service):

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@@ -1,15 +1,15 @@
import pytest
from primaite.simulator.network.hardware.nodes.server import Server
from primaite.simulator.network.protocols.http import (
from src.primaite.simulator.network.hardware.nodes.server import Server
from src.primaite.simulator.network.protocols.http import (
HttpRequestMethod,
HttpRequestPacket,
HttpResponsePacket,
HttpStatusCode,
)
from primaite.simulator.network.transmission.network_layer import IPProtocol
from primaite.simulator.network.transmission.transport_layer import Port
from primaite.simulator.system.services.web_server.web_server import WebServer
from src.primaite.simulator.network.transmission.network_layer import IPProtocol
from src.primaite.simulator.network.transmission.transport_layer import Port
from src.primaite.simulator.system.services.web_server.web_server import WebServer
@pytest.fixture(scope="function")

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@@ -3,7 +3,7 @@ from typing import Callable, Dict, List, Literal, Tuple
import pytest
from pydantic import ValidationError
from primaite.simulator.core import SimComponent
from src.primaite.simulator.core import SimComponent
class TestIsolatedSimComponent:

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@@ -1,4 +1,4 @@
from primaite.simulator.sim_container import Simulation
from src.primaite.simulator.sim_container import Simulation
def test_creating_empty_simulation():