Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks
Farzaneh Tatari, Aquib Mustafa, Majid Mazouchi, Hamidreza Modares,, Christos G. Panayiotou, Marios M. Polycarpou

TL;DR
This paper analyzes how cyber-physical attacks can disrupt multi-agent consensus control by deceiving event-triggered mechanisms, leading to network disconnectivity or Zeno behavior, with simulations validating the findings.
Contribution
It provides a rigorous analysis of attack impacts on event-triggered consensus protocols and reveals new vulnerabilities in common mechanisms.
Findings
Deception attacks can cause non-triggering failures, disconnecting agents.
Attacks can induce continuous triggering, leading to Zeno behavior.
Simulations confirm theoretical attack effects on network performance.
Abstract
This work presents a rigorous analysis of the adverse effects of cyber-physical attacks on the performance of multi-agent consensus with event-triggered control protocols. It is shown how a strategic malicious attack on sensors and actuators can deceive the triggering condition of both state-based event-triggered mechanism and combinational state-based event-triggered mechanism, which are commonplace and widely used in the literature. More precisely, it is first shown that a deception attack in the case of combinational state-based event-triggered mechanism can result in a non-triggering misbehavior, in the sense that the compromised agent does not trigger any event and consequently results in partial feedback disconnectivity by preventing information from reaching the local neighbors of the compromised agent. This indicates that the combinational state-based event-triggered mechanism…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Smart Grid Security and Resilience · Security in Wireless Sensor Networks
