2025/06/05 by Julien Soulé, Soulé, Julien, Jean-Paul Jamont +7 · 1 voice
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information and Cyber Security #Network Security and Intrusion Detection #Software-Defined Networks and 5G #cs.AI
paper · pdf · doi:10.48550/arxiv.2506.04849
openalex publication_date 2025/06/05 · arxiv published 2025/06/05 · arxiv updated 2025/06/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
As cyber-attacks show to be more and more complex and coordinated, cyber-defenders strategy through multi-agent approaches could be key to tackle against cyber-attacks as close as entry points in a networked system. This paper presents a Markovian modeling and implementation through a simulator of fighting cyber-attacker agents and cyber-defender agents deployed on host network nodes. It aims to provide an experimental framework to implement realistically based coordinated cyber-attack scenarios while assessing cyber-defenders dynamic organizations. We abstracted network nodes by sets of properties including agents' ones. Actions applied by agents model how the network reacts depending in a given state and what properties are to change. Collective choice of the actions brings the whole environment closer or farther from respective cyber-attackers and cyber-defenders goals. Using the simulator, we implemented a realistically inspired scenario with several behavior implementation approaches for cyber-defenders and cyber-attackers.