Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems
We study a Stackelberg game between one attacker and one defender in a configurable
environment. The defender picks a specific environment configuration. The attacker …
environment. The defender picks a specific environment configuration. The attacker …
Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
D Goel - arXiv preprint arXiv:2310.10667, 2023 - arxiv.org
With the burgeoning advancements of computing and network communication technologies,
network infrastructures and their application environments have become increasingly …
network infrastructures and their application environments have become increasingly …
A Generic Approach for Network Defense Strategies Generation Based on Evolutionary Game Theory
L Liu, C Tang, L Zhang, S Liao - Information Sciences, 2024 - Elsevier
The generation of optimal defense strategies in dynamic adversarial environments is crucial
for cybersecurity. Recently, defense approaches based on evolutionary game theory have …
for cybersecurity. Recently, defense approaches based on evolutionary game theory have …
Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs
We study a Stackelberg game between an attacker and a defender on large Active Directory
(AD) attack graphs where the defender employs a set of honeypots to stop the attacker from …
(AD) attack graphs where the defender employs a set of honeypots to stop the attacker from …
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
This paper addresses a significant gap in Autonomous Cyber Operations (ACO) literature:
the absence of effective edge-blocking ACO strategies in dynamic, real-world networks. It …
the absence of effective edge-blocking ACO strategies in dynamic, real-world networks. It …
Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys
Microsoft Active Directory (AD) is the default security management system for Window
domain network. We study the problem of placing decoys in AD network to detect potential …
domain network. We study the problem of placing decoys in AD network to detect potential …