Distributed Detection of Malicious Attacks on Consensus Algorithms with Applications in Power Networks: Preprint
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 identifies the intruder 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.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1669437
- Report Number(s):
- NREL/CP-5D00-76848; MainId:10492; UUID:01cf5a44-3c0a-4fea-be14-8a84d9734a8e; MainAdminID:13643
- Country of Publication:
- United States
- Language:
- English