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Proceedings/Recueil Des Communications Année : 2022

An emotion-inspired anomaly detection approach for cyber-physical systems resilience

Résumé

Nowadays, cyber-physical systems (CPS) are becoming ubiquitous in various application domains. The variety of design and implementation methodologies utilized for cyber-physical systems, as well as the dynamic interaction of its components, make the resilience of these systems a major challenge. We aim to increase the resilience of these systems in a decentralized way by leveraging knowledge of the social sciences and humanities (SSH) and especially emotional processes. Both individual decision-making processes and social coordinating mechanisms are based on emotional inspiration. Our hypotheses and studies on resilience approaches, cyber-physical systems and emotional processes allowed us to choose the multi-agent paradigm. In this paper, we present the results of our research on resilience, which includes an emotion-inspired anomaly detection approach for improving CPS resilience. This approach is integrated into an agent architecture, compared to the literature, and validated through the development of proof-of-concept scenarios. The experimental results prove its advantages in terms of resilience properties.
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Dates et versions

hal-03942660 , version 1 (17-01-2023)

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  • HAL Id : hal-03942660 , version 1

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Eskandar Kouicem, Clément Raievsky, Michel Occello. An emotion-inspired anomaly detection approach for cyber-physical systems resilience. 13616, Springer, pp.267-279, 2022, 978-3-031-18191-7. ⟨hal-03942660⟩

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