This is an experiment in the idsgame-v5
environment.
An environment where neither the attacker nor defender is part of the environment, i.e.
it is intended for 2-agent simulations or RL training.
In this experiment, the attacker is implemented with a random attack policy. Similarly, the defender is implemented with a random defense policy.
The network configuration of the environment is as follows:
num_layers=4
(number of layers between the start and end nodes)num_servers_per_layer=5
num_attack_types=10
max_value=9
connected_layers = True
The starting state for each node in the environment is initialized as follows (with some randomness for where the vulnerabilities are placed).
defense_val=2
attack_val=0
num_vulnerabilities_per_node=1
(which type of defense at the node that is vulnerable is selected randomly when the environment is initialized)det_val=2
vulnerability_val=0
num_vulnerabilities_per_layer=2
- Env:
idsgame-v5
- Bots
To configure the experiment use the config.json
file. Alternatively,
it is also possible to delete the config file and edit the configuration directly in
run.py
(this will cause the configuration to be overridden on the next run).
Example configuration in config.json
:
{
"attacker_type": 1,
"defender_type": 1,
"env_name": "idsgame-v5",
"idsgame_config": null,
"initial_state_path": null,
"logger": null,
"mode": 2,
"output_dir": "/home/kim/storage/workspace/gym-idsgame/experiments/simulations/v5/random_vs_random",
"py/object": "gym_idsgame.config.client_config.ClientConfig",
"q_agent_config": null,
"simulation_config": {
"gif_dir": "/home/kim/storage/workspace/gym-idsgame/experiments/simulations/v5/random_vs_random/gifs",
"gifs": true,
"log_frequency": 1,
"logger": null,
"num_episodes": 1000,
"py/object": "gym_idsgame.simulation.dao.simulation_config.SimulationConfig",
"render": false,
"sleep": 0.8,
"video": true,
"video_dir": "/home/kim/storage/workspace/gym-idsgame/experiments/simulations/v5/random_vs_random/videos",
"video_fps": 5,
"video_frequency": 1
},
"title": "RandomAttacker vs RandomDefender"
}
Example configuration in run.py
:
simulation_config = SimulationConfig(render=False, sleep=0.8, video=True, log_frequency=1,
video_fps=5, video_dir=default_output_dir() + "/videos", num_episodes=1000,
gifs=True, gif_dir=default_output_dir() + "/gifs", video_frequency = 1)
env_name = "idsgame-v5"
client_config = ClientConfig(env_name=env_name, attacker_type=AgentType.RANDOM.value,
defender_type=AgentType.RANDOM.value, mode=RunnerMode.SIMULATE.value,
simulation_config=simulation_config, output_dir=default_output_dir(),
title="RandomAttacker vs RandomDefender")
Below is a list of commands for running the experiment
Option 1:
./run.sh
Option 2:
make all
Option 3:
python run.py
Option 1:
./run_server.sh
Option 2:
make run_server
make clean