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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
penetration testing
reinforcement learning
recommender systems
Online Access:https://www.mdpi.com/1424-8220/25/1/211
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

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

Similar Items