Cascaded Reinforcement Learning Agents for Large Action Spaces in Autonomous Penetration Testing

Cascaded Reinforcement Learning Agents for Large Action Spaces in Autonomous Penetration Testing

Organised attacks on a computer system to test existing defences, i.e., penetration testing, have been used extensively to evaluate network security. However, penetration testing is a time-consuming process. Additionally, establishing a strategy that resembles a real cyber-attack typically requires...

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Bibliographic Details
Main Authors: Khuong Tran, Maxwell Standen, Junae Kim, David Bowman, Toby Richer, Ashlesha Akella, Chin-Teng Lin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
cybersecurity
penetration testing
deep reinforcement learning
large action space
Online Access:https://www.mdpi.com/2076-3417/12/21/11265

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https://www.mdpi.com/2076-3417/12/21/11265

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