Article

Hierarchical Reinforcement Learning for Efficient and Effective Automated Penetration Testing of Large Networks

2022-05-27

Abstract excerpt

Penetration testing (PT) is a method for assessing and evaluating the security of digital assets by planning, generating, and executing possible attacks that aim to discover and exploit vulnerabilities. In large networks, penetration testing becomes repetitive, complex and resource-consuming despite the use of automated tools. This paper investigates reinforcement learning (RL) to make penetration testing more int...

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Literature Corpus work: f6579e0f-e2b3-583c-b2c3-d3fabdb8882f
DOI: 10.21203/rs.3.rs-1686285/v1

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