Kim Hammar's repositories
awesome-rl-for-cybersecurity
A curated list of resources dedicated to reinforcement learning applied to cyber security.
Limmen.github.io
limmen.dev
exploit-CVE-2017-7494
SambaCry exploit and vulnerable container (CVE-2017-7494)
cdis-poster
A KTH CDIS poster template based on beamerposter, fork of kth-poster
csle-cyborg
CybORG for TTCP CAGE Challenge 2
minbft
Prototype implementation of the MINBFT byzantine-fault-tolerant consensus algorithm
mcbo
The companion code to the paper "Model-based Causal Bayesian Optimization"
gym-idsgame
An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym
ryu
Ryu component-based software defined networking framework
TNSM_Learning_IRS_Supplementary
Supplementary material for "Learning Near-Optimal Intrusion Responses Against Dynamic Attackers" by Hammar & Stadler, 2023, IEEE TNSM
awesome-machine-learning-resources
A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
optimal_stopping_pomdp
Optimal Stopping POMDP
gym-optimal-intrusion-response
A Simulated Optimal Intrusion Response Game
open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
openai_temp
Temporary
ovs
Open vSwitch
impacket
Impacket is a collection of Python classes for working with network protocols.
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.
automated-intrusion-prevention-dashboard
A dashboard for inspecting and validating intrusion prevention policies.
Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
Machine-Learning-For-Cyber-Security
Machine Learning for Cyber Security
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
awesome-deep-rl
A curated list of awesome Deep Reinforcement Learning resources.
pulledpork
Pulled Pork for Snort and Suricata rule management (from Google code)