Conference · 2020
Distributed Detection of Malicious Attacks on Consensus Algorithms with Applications in Power Networks,
S. Patel, V. Khatana, G. Saraswat and M. V. Salapaka
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), Prague, Czech Republic
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 flow. 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.
BibTeX
@inproceedings{patel-2020-distributed-detection-of-malicious-attacks-on-consensus-algo,
title = {Distributed Detection of Malicious Attacks on Consensus Algorithms with Applications in Power Networks,},
author = {S. Patel and V. Khatana and G. Saraswat and M. V. Salapaka},
booktitle = {2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), Prague, Czech Republic},
year = {2020},
doi = {10.1109/CoDIT49905.2020.9263882}
}