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DOE OSTI · 1762456

Distributed Detection of Malicious Attacks on Consensus Algorithms with Applications in Power Networks

Patel, Sourav·Khatana, Vivek·Saraswat, Govind·Salapaka, Murti V.
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Abstract

Consensus-based distributed algorithms are well suited for coordination among agents in a cyber-physical system. These distributed schemes, however, suffer from their vulnerability to cyber attacks that are aimed at manipulating data and control ow. In this article, we present a novel distributed method for detecting the presence of such intrusions for a distributed multi-agent system following ratio consensus. We employ a Max-Min protocol to develop low cost, easy to implement detection strategies where each participating node detects the intrusion independently, eliminating the need for a trusted certifying agent in the network. The effectiveness of the detection method is demonstrated by numerical simulations on a 1000 node network to demonstrate the efficacy and simplicity of implementation.

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27 ARPA - Advanced Research Projects Agency-Energy (ARPA-E)cybersecuritydistributed algorithmdistributed intruder detectionratio consensussmart microgrids

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Patel, Sourav, Khatana, Vivek, Saraswat, Govind, Salapaka, Murti V.. 2020-11-27. Distributed Detection of Malicious Attacks on Consensus Algorithms with Applications in Power Networks. https://doi.org/10.1109/codit49905.2020.9263882

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