foroughsh

A_framework_for_meeting_MO_TNSM2023

online_policy_adaptation_using_rollout

A project for online policy adaptation using rollout for meeting end-to-end QoS objectives in networked systems.

NASimEmu

Gym-based environment for training offensive RL agents. Agents can generalize to unseen scenarios and simulation-trained agents can be deployed in the emulation.

exploit-CVE-2017-7494

SambaCry exploit and vulnerable container (CVE-2017-7494)

TNSM_Learning_IRS_Supplementary

Supplementary material for "Learning Near-Optimal Intrusion Responses Against Dynamic Attackers" by Hammar & Stadler, 2023, IEEE TNSM

csle

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

dqn

TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)

kth-poster

A KTH poster template based on beamerposter

docker-tc

:whale: :vertical_traffic_light: Docker Traffic Control - network rate limiting, emulating delays, losses, duplicates, corrupts and reorders of network packets using only container labels or a command-line interface.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

microservices-demo

Deployment scripts & config for Sock Shop

awesome-rl-for-cybersecurity

A curated list of resources dedicated to reinforcement learning applied to cyber security.