EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications

Abstract In recent years, penetration testing (pen‐testing) has emerged as a crucial process for evaluating the security level of network infrastructures by simulating real‐world cyber‐attacks. Automating pen‐testing through reinforcement learning (RL) facilitates more frequent assessments, minimize...

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Bibliographic Details
Main Authors: Zegang Li, Qian Zhang, Guangwen Yang
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Engineering Reports
Subjects:
Online Access:https://doi.org/10.1002/eng2.12818
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