Czar Echavez 62197fe72b Merged PR 254: #2151: remove changing of health_state_actual in actions and tests
## Summary
Removed the changing of health_state_actual from the actions - only few places where the health_state_actual is changed:
- compromised in specific scripted events
- set to good when started (if the state is still at UNUSED
- set to good after patching

## Test process
unit tests
https://dev.azure.com/ma-dev-uk/PrimAITE/_git/PrimAITE/pullrequest/254?_a=files&path=/tests/unit_tests/_primaite/_simulator/_system/_services/test_services.py

## Checklist
- [X] PR is linked to a **work item**
- [X] **acceptance criteria** of linked ticket are met
- [X] performed **self-review** of the code
- [X] written **tests** for any new functionality added with this PR
- [ ] updated the **documentation** if this PR changes or adds functionality
- [ ] written/updated **design docs** if this PR implements new functionality
- [ ] updated the **change log**
- [X] ran **pre-commit** checks for code style
- [ ] attended to any **TO-DOs** left in the code

#2151: remove changing of health_state_actual in actions and tests

Related work items: #2151, #2166
2024-01-10 13:35:51 +00:00
2023-08-15 13:28:02 +01:00
2023-07-20 10:54:42 +01:00
2023-06-02 12:59:01 +01:00

PrimAITE

image

The ARCD Primary-level AI Training Environment (PrimAITE) provides an effective simulation capability for the purposes of training and evaluating AI in a cyber-defensive role. It incorporates the functionality required of a primary-level ARCD environment, which includes:

  • The ability to model a relevant platform / system context;

  • The ability to model key characteristics of a platform / system by representing connections, IP addresses, ports, traffic loading, operating systems and services;

  • Operates at machine-speed to enable fast training cycles.

PrimAITE presents the following features:

  • Highly configurable (via YAML files) to provide the means to model a variety of platform / system laydowns and adversarial attack scenarios;

  • A Reinforcement Learning (RL) reward function based on (a) the ability to counter the specific modelled adversarial cyber-attack, and (b) the ability to ensure success;

  • Provision of logging to support AI evaluation and metrics gathering;

  • Realistic network traffic simulation, including address and sending packets via internet protocols like TCP, UDP, ICMP, and others

  • Routers with traffic routing and firewall capabilities

  • Support for multiple agents, each having their own customisable observation space, action space, and reward function definition, and either deterministic or RL-directed behaviour

Getting Started with PrimAITE

💫 Install & Run

PrimAITE is designed to be OS-agnostic, and thus should work on most variations/distros of Linux, Windows, and MacOS. Currently, the PrimAITE wheel can only be installed from GitHub. This may change in the future with release to PyPi.

Windows (PowerShell)

Prerequisites:

  • Manual install of Python >= 3.8 < 3.11

Install:

mkdir ~\primaite
cd ~\primaite
python3 -m venv .venv
attrib +h .venv /s /d # Hides the .venv directory
.\.venv\Scripts\activate
pip install https://github.com/Autonomous-Resilient-Cyber-Defence/PrimAITE/releases/download/v2.0.0/primaite-2.0.0-py3-none-any.whl
primaite setup

Run:

primaite session

Unix

Prerequisites:

  • Manual install of Python >= 3.8 < 3.11
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.10
sudo apt-get install python3-pip
sudo apt-get install python3-venv

Install:

mkdir ~/primaite
cd ~/primaite
python3 -m venv .venv
source .venv/bin/activate
pip install https://github.com/Autonomous-Resilient-Cyber-Defence/PrimAITE/releases/download/v2.0.0/primaite-2.0.0-py3-none-any.whl
primaite setup

Run:

primaite session

Developer Install from Source

To make your own changes to PrimAITE, perform the install from source (developer install)

1. Clone the PrimAITE repository

git clone git@github.com:Autonomous-Resilient-Cyber-Defence/PrimAITE.git

2. CD into the repo directory

cd PrimAITE

3. Create a new python virtual environment (venv)

python3 -m venv venv

4. Activate the venv

Unix
source venv/bin/activate
Windows (Powershell)
.\venv\Scripts\activate

5. Install primaite with the dev extra into the venv along with all of it's dependencies

python3 -m pip install -e .[dev]

6. Perform the PrimAITE setup:

primaite setup

📚 Building documentation

The PrimAITE documentation can be built with the following commands:

Unix
cd docs
make html
Windows (Powershell)
cd docs
.\make.bat html
Description
ARCD Primary-Level AI Training Environment (PrimAITE)
Readme 21 MiB
Languages
Python 80.2%
Jupyter Notebook 19.8%