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...
Main Authors: | Khuong Tran, Maxwell Standen, Junae Kim, David Bowman, Toby Richer, Ashlesha Akella, Chin-Teng Lin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/21/11265 |
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