Reinforcement Learning for Efficient Network Penetration Testing

Volume: 11, Issue: 1, Pages: 6 - 6
Published: Dec 20, 2019
Abstract
Penetration testing (also known as pentesting or PT) is a common practice for actively assessing the defenses of a computer network by planning and executing all possible attacks to discover and exploit existing vulnerabilities. Current penetration testing methods are increasingly becoming non-standard, composite and resource-consuming despite the use of evolving tools. In this paper, we propose and evaluate an AI-based pentesting system which...
Paper Details
Title
Reinforcement Learning for Efficient Network Penetration Testing
Published Date
Dec 20, 2019
Volume
11
Issue
1
Pages
6 - 6
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