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cs.CR2024
Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN
Norman Becker, Daniel Reti, Evridiki V. Ntagiou +2
Penetration testing is the process of searching for security weaknesses by simulating an attack. It is usually performed by experienced professionals, where scanning and attack too…
cs.CR2024
Act as a Honeytoken Generator! An Investigation into Honeytoken Generation with Large Language Models
Daniel Reti, Norman Becker, Tillmann Angeli +4
With the increasing prevalence of security incidents, the adoption of deception-based defense strategies has become pivotal in cyber security. This work addresses the challenge of…