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Merging Digital Twins and Multi-Agent Systems Approaches for Security Monitoring

Authors:
Zoe Lagache
Annabelle Mercier
Oum-El-Kheir Aktouf
Arthur Baudet

Keywords: Multi-Agent Systems, Digital Twins, Cyber Physical Systems, Network Security.

Abstract:
This paper proposes a method for designing a model based on the Multi-Agent System (MAS) and Digital Twin (DT) concepts to study the cyber-physical systems security. When Cyber-Physical Systems (CPS) are used in a network to address a complex problem (such as the deployment of smart cities, Industry 4.0, etc.). They present a uniquely wide vulnerability challenges as their attack surface ranges from hardware and physical attacks to software attacks and even including network attacks. To meet these challenges, we explored several approaches to ally MAS and DT with the aim to benefit from the scalability and adaptability of MASs and the enhanced modelling of DTs. As a result of this exploration, we present a novel approach to tackle networking attacks of CPSs. To showcase our approach, we present its application to detect blackhole attacks (a kind of attack in which one or more nodes attract all communications and not forward them, mimicking an error in the network) in a simulated smart home environment. As results are promising, we conclude and discuss future research perspectives in allying DTs and MASs for managing the security of CPSs.

Pages: 148 to 155

Copyright: Copyright (c) IARIA, 2024

Publication date: November 3, 2024

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-68558-206-7

Location: Nice, France

Dates: from November 3, 2024 to November 7, 2024