Towards a Multi-Agent Simulation of Cyber-attackers and Cyber-defenders Battles

Fuente: arXiv
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Main Authors: Soulé, Julien, Jamont, Jean-Paul, Occello, Michel, Théron, Paul, Traonouez, Louis-Marie
Format: Preprint
Published: 2025
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_version_ 1866918046383210496
author Soulé, Julien
Jamont, Jean-Paul
Occello, Michel
Théron, Paul
Traonouez, Louis-Marie
author_facet Soulé, Julien
Jamont, Jean-Paul
Occello, Michel
Théron, Paul
Traonouez, Louis-Marie
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2506_04849
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Towards a Multi-Agent Simulation of Cyber-attackers and Cyber-defenders Battles
Soulé, Julien
Jamont, Jean-Paul
Occello, Michel
Théron, Paul
Traonouez, Louis-Marie
Artificial Intelligence
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.
title Towards a Multi-Agent Simulation of Cyber-attackers and Cyber-defenders Battles
topic Artificial Intelligence
url https://arxiv.org/abs/2506.04849