Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven
Multi-Objective Deep Reinforcement Learning Approach

Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven Multi-Objective Deep Reinforcement Learning Approach

22 February 2022

Xin Liu

Papers citing "Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven Multi-Objective Deep Reinforcement Learning Approach"

6 / 6 papers shown

Title
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection Wanrong Yang Alberto Acuto Yihang Zhou Dominik Wojtczak OffRL 36 2 0 25 Sep 2024
Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN Norman Becker Daniel Reti Evridiki V. Ntagiou M. Wallum Hans D. Schotten 34 1 0 22 Jul 2024
Inroads into Autonomous Network Defence using Explained Reinforcement Learning Myles Foley Miaowei Wang M. Zoe Chris Hicks V. Mavroudis AAML 16 14 0 15 Jun 2023
NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios Jaromír Janisch Tomávs Pevný Viliam Lisý 18 13 0 26 May 2023
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks Seokshin Son Soohyun Park Haemin Lee Joongheon Kim Soyi Jung Donghwa Kim 38 1 0 27 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