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Deep hierarchical reinforcement agents for automated penetration testing

Deep hierarchical reinforcement agents for automated penetration testing

14 September 2021
Khuong Tran
Ashlesha Akella
Maxwell Standen
Junae Kim
David Bowman
Toby J. Richer
Chin-Teng Lin Institution One
ArXivPDFHTML

Papers citing "Deep hierarchical reinforcement agents for automated penetration testing"

16 / 16 papers shown
Title
Evaluation of Reinforcement Learning for Autonomous Penetration Testing
  using A3C, Q-learning and DQN
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
21
1
0
22 Jul 2024
Knowledge-Informed Auto-Penetration Testing Based on Reinforcement
  Learning with Reward Machine
Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine
Yuanliang Li
Hanzheng Dai
Jun Yan
17
3
0
24 May 2024
Discovering Command and Control (C2) Channels on Tor and Public Networks
  Using Reinforcement Learning
Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning
Cheng Wang
Christopher Redino
Abdul Rahman
Ryan Clark
Dan Radke
Tyler Cody
Dhruv Nandakumar
Edward Bowen
14
3
0
14 Feb 2024
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
AI4CE
13
1
0
11 Oct 2023
Inroads into Autonomous Network Defence using Explained Reinforcement
  Learning
Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Myles Foley
Miaowei Wang
M. Zoe
Chris Hicks
V. Mavroudis
AAML
11
13
0
15 Jun 2023
A Multiagent CyberBattleSim for RL Cyber Operation Agents
A Multiagent CyberBattleSim for RL Cyber Operation Agents
T. Kunz
Christian Fisher
James La Novara-Gsell
Christopher Nguyen
Li Li
AAML
AI4CE
13
13
0
03 Apr 2023
Automated Cyber Defence: A Review
Automated Cyber Defence: A Review
Sanyam Vyas
J. Hannay
A. Bolton
Pete Burnap
31
19
0
08 Mar 2023
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
K. Hammar
Rolf Stadler
AAML
24
12
0
11 Jan 2023
Beyond CAGE: Investigating Generalization of Learned Autonomous Network
  Defense Policies
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
12
17
0
28 Nov 2022
Exposing Surveillance Detection Routes via Reinforcement Learning,
  Attack Graphs, and Cyber Terrain
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain
Lanxiao Huang
Tyler Cody
Christopher Redino
Abdul Rahman
Akshay Kakkar
...
Cheng Wang
Ryan Clark
Dan Radke
Peter A. Beling
Edward Bowen
13
8
0
06 Nov 2022
A Layered Reference Model for Penetration Testing with Reinforcement
  Learning and Attack Graphs
A Layered Reference Model for Penetration Testing with Reinforcement Learning and Attack Graphs
Tyler Cody
OffRL
11
14
0
14 Jun 2022
Learning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal Stopping
K. Hammar
Rolf Stadler
AAML
9
10
0
29 May 2022
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer
  Networks
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks
Seokshin Son
Soohyun Park
Haemin Lee
Joongheon Kim
Soyi Jung
Donghwa Kim
18
1
0
27 May 2022
GAIL-PT: A Generic Intelligent Penetration Testing Framework with
  Generative Adversarial Imitation Learning
GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning
Jinyin Chen
Shulong Hu
Haibin Zheng
Changyou Xing
Guomin Zhang
13
3
0
05 Apr 2022
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
Yizhou Yang
Xin Liu
AAML
6
12
0
22 Feb 2022
Intrusion Prevention through Optimal Stopping
Intrusion Prevention through Optimal Stopping
K. Hammar
Rolf Stadler
9
22
0
30 Oct 2021
1