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May 17, 2026Engineering Reports0 citationsOpen Access

A Covert Cyber‐Attack Framework and Detection on Communication Links in Linear Multi‐Agent Cyber‐Physical Systems

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MTMohammad Tahmasbi

Key Points

  • This work examines a framework for detecting covert attacks within communication networks of multi-agent systems.
  • Developed a residual-based detection method utilizing a Kalman filter observer and additional dynamics.
  • Employed individual anomaly detectors for each agent, relying solely on local information for attack detection.
  • Simulated consensus problem scenarios in linear multi-agent systems to validate the approach.
  • Demonstrated effective detection of covert attacks in a distributed manner using the proposed framework.
  • Achieved successful anomaly detection across multiple homogeneous agents.
  • Results suggest improved security for communication links in multi-agent scenarios.

Abstract

ABSTRACT This study presents covert attack architecture and detection approach in communication networks for homogenous and linear multi‐agent systems (MASs). This work focuses on distributed MASs with bounded process and measurement disturbances. A residual‐based detection method, exploiting a KALMAN filter observer and extra dynamic, is proposed to detect covert attacks on agents' communication channels. On the basis of the methodology, each agent or subsystem has its own anomaly detector which allows detecting the presence of covert attack using only local information. Finally, simulation results on the consensus problem of MAS are investigated. The results illustrate the effectiveness of the proposed approach for the detection of covert attack in a distributed manner.

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Cite This Study

Mohammad Tahmasbi (2026) studied this question.

synapsesocial.com/papers/6a095c037880e6d24efe1ef5https://doi.org/10.1002/eng2.70838
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