Analysis of Autonomous Penetration Testing Through Reinforcement Learning and Recommender Systems

Analysis of Autonomous Penetration Testing Through Reinforcement Learning and Recommender Systems

Conducting penetration testing (pentesting) in cybersecurity is a crucial turning point for identifying vulnerabilities within the framework of Information Technology (IT), where real malicious offensive behavior is simulated to identify potential weaknesses and strengthen preventive controls. Given...

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Bibliográfalaš dieđut
Váldodahkkit: Ariadna Claudia Moreno, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2025-01-01
Ráidu:Sensors
Fáttát:
penetration testing
reinforcement learning
recommender systems
Liŋkkat:https://www.mdpi.com/1424-8220/25/1/211

Interneahtta

https://www.mdpi.com/1424-8220/25/1/211

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