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Detection of Covert Cyber-Attacks in Interconnected Systems: A Distributed Model-Based Approach

Barboni, A; Rezaee, H; Boem, F; Parisini, T; (2020) Detection of Covert Cyber-Attacks in Interconnected Systems: A Distributed Model-Based Approach. IEEE Transactions on Automatic Control 10.1109/tac.2020.2998765. Green open access

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Abstract

Distributed detection of covert attacks for linear large-scale interconnected systems is addressed in this paper. Existing results consider the problem in centralized settings. This work focuses on large-scale systems subject to bounded process and measurement disturbances, where a single subsystem is under a covert attack. A detection methodology is proposed, where each subsystem can detect the presence of covert attacks in neighboring subsystems in a distributed manner. The detection strategy is based on the design of two model-based observers for each subsystem using only local information. An extensive detectability analysis is provided and simulation results on a power network benchmark are given, showing the effectiveness of the proposed methodology for the detection of covert cyber-attacks.

Type: Article
Title: Detection of Covert Cyber-Attacks in Interconnected Systems: A Distributed Model-Based Approach
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tac.2020.2998765
Publisher version: https://doi.org/10.1109/tac.2020.2998765
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: Observers , Symmetric matrices , Silicon , Interconnected systems , Monitoring , Large-scale systems , Benchmark testing
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/10104107
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