Learning Near-Optimal Intrusion Responses Against Dynamic Attackers

11 January 2023

Papers citing "Learning Near-Optimal Intrusion Responses Against Dynamic Attackers"

10 / 10 papers shown

Title
Intrusion Tolerance for Networked Systems through Two-Level Feedback Control K. Hammar Rolf Stadler 19 1 0 02 Apr 2024
Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games Tao Li K. Hammar Rolf Stadler Quanyan Zhu 23 7 0 29 Feb 2024
IT Intrusion Detection Using Statistical Learning and Testbed Measurements Xiaoxuan Wang Rolf Stadler 21 1 0 20 Feb 2024
Automated Security Response through Online Learning with Adaptive Conjectures K. Hammar Tao Li Rolf Stadler Quanyan Zhu 20 5 0 19 Feb 2024
Scalable Learning of Intrusion Responses through Recursive Decomposition K. Hammar Rolf Stadler 8 8 0 06 Sep 2023
Multiple Domain Cyberspace Attack and Defense Game Based on Reward Randomization Reinforcement Learning L. Zhang Yu Pan Yi Liu Qibin Zheng Zhisong Pan AAML 17 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 26 31 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 30 25 0 20 Apr 2021
Constraints Satisfiability Driven Reinforcement Learning for Autonomous Cyber Defense A. Dutta E. Al-Shaer S. Chatterjee 13 6 0 19 Apr 2021
Reinforcement Learning for IoT Security: A Comprehensive Survey Aashma Uprety D. Rawat AAML 30 121 0 14 Feb 2021