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A Distributed Attack Detection Method for Multi-Agent Systems Governed by Consensus-Based Control

Boem, F; Gallo, AJ; Ferrari-Trecate, G; Parisini, T; (2017) A Distributed Attack Detection Method for Multi-Agent Systems Governed by Consensus-Based Control. In: Proceedings of 2017 IEEE 56th Annual Conference on Decision and Control (CDC). (pp. pp. 5961-5966). IEEE: Melbourne, VIC, Australia. Green open access

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Abstract

The paper considers the problem of detecting cyber-attacks occurring in communication networks for distributed control schemes. A distributed methodology is proposed to detect the presence of malicious attacks aimed at compromising the stability of large-scale interconnected systems and multi-agent systems governed by consensus-based controllers. Only knowledge of the local model is required. The detectability properties of the proposed method are analyzed. A class of undetectable attacks is identified. Preliminary simulation results show the effectiveness of the proposed approach.

Type: Proceedings paper
Title: A Distributed Attack Detection Method for Multi-Agent Systems Governed by Consensus-Based Control
Event: IEEE 56th Annual Conference on Decision and Control (CDC)
Location: Melbourne, AUSTRALIA
Dates: 12 December 2017 - 15 December 2017
ISBN-13: 978-1-5090-2874-0
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/CDC.2017.8264562
Publisher version: http://doi.org/10.1109/CDC.2017.8264562
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Automation & Control Systems, Engineering, Electrical & Electronic, Engineering, LARGE-SCALE SYSTEMS, FAULT-DETECTION, NETWORKS, AGENTS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10046403
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