Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms

7 February 2023

Papers citing "Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms"

3 / 3 papers shown

Title
ProAPT: Projection of APT Threats with Deep Reinforcement Learning M. Dehghan B. Sadeghiyan E. Khosravian Alireza Sedighi Moghaddam Farshid Nooshi 26 4 0 15 Sep 2022
Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs Mingyu Guo Jialiang Li Aneta Neumann Frank Neumann Hung Nguyen AAML 18 22 0 25 Dec 2021
Finding Effective Security Strategies through Reinforcement Learning and Self-Play K. Hammar Rolf Stadler AAML 23 61 0 17 Sep 2020