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.
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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 |
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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 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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