Learning Security Strategies through Game Play and Optimal Stopping

29 May 2022

Papers citing "Learning Security Strategies through Game Play and Optimal Stopping"

9 / 9 papers shown

Title
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 51 3 0 23 Oct 2024
IT Intrusion Detection Using Statistical Learning and Testbed Measurements Xiaoxuan Wang Rolf Stadler 33 1 0 20 Feb 2024
Scalable Learning of Intrusion Responses through Recursive Decomposition K. Hammar Rolf Stadler 24 8 0 06 Sep 2023
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers K. Hammar Rolf Stadler AAML 32 12 0 11 Jan 2023
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies M. Wolk A. Applebaum Camron Dennler P. Dwyer M. Moskowitz ... N. Nichols Nicole Park Paul Rachwalski Frank Rau A. Webster OffRL AAML 24 17 0 28 Nov 2022
Multiple Domain Cyberspace Attack and Defense Game Based on Reward Randomization Reinforcement Learning L. Zhang Yu Pan Yi Liu Qibin Zheng Zhisong Pan AAML 27 3 0 23 May 2022
Deep hierarchical reinforcement agents for automated penetration testing Khuong Tran Ashlesha Akella Maxwell Standen Junae Kim David Bowman Toby J. Richer Chin-Teng Lin Institution One 46 38 0 14 Sep 2021
Prospective Artificial Intelligence Approaches for Active Cyber Defence Neil Dhir H. Hoeltgebaum N. Adams M. Briers A. Burke Paul Jones AAML 36 25 0 20 Apr 2021
Constraints Satisfiability Driven Reinforcement Learning for Autonomous Cyber Defense A. Dutta E. Al-Shaer S. Chatterjee 32 6 0 19 Apr 2021