most citedEvaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2024★ 3 cited

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…

cs.CR2021

Escape the Fake: Introducing Simulated Container-Escapes for Honeypots

Daniel Reti, Norman Becker

In the field of network security, the concept of honeypots is well established in research as well as in production. Honeypots are used to imitate a legitimate target on the networ…