Skip to content

Latest commit

 

History

History
132 lines (102 loc) · 3.51 KB

README.md

File metadata and controls

132 lines (102 loc) · 3.51 KB

Experiment randomvsrandom

This is an experiment in the idsgame-v1 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=1 (number of layers between the start and end nodes)
  • num_servers_per_layer=1
  • num_attack_types=10
  • max_value=9

The starting state for each node in the environment is initialized as follows (with some randomness for where the vulnerabilities are placed).

  • defense_val=4
  • attack_val=0
  • num_vulnerabilities_per_node=4 (which type of defenses at the node that are vulnerable is selected randomly when the environment is initialized)
  • det_val=3
  • vulnerability_val=0
  • num_vulnerabilities_per_layer=1

Environment

  • Env: idsgame-v1

Algorithm

  • Bots

Instructions

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-v1",
    "idsgame_config": null,
    "initial_state_path": null,
    "logger": null,
    "mode": 2,
    "output_dir": "/home/kim/storage/workspace/gym-idsgame/experiments/simulations/v1/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/v1/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/v1/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-v1"
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")

Example Simulation

Commands

Below is a list of commands for running the experiment

Run

Option 1:

./run.sh

Option 2:

make all

Option 3:

python run.py

Run Server (Without Display)

Option 1:

./run_server.sh

Option 2:

make run_server

Clean

make clean