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A Distributed Approach for the Detection of Covert Attacks in Interconnected Systems with Stochastic Uncertainties

Barboni, A; Gallo, AJ; Boem, F; Parisini, T; (2020) A Distributed Approach for the Detection of Covert Attacks in Interconnected Systems with Stochastic Uncertainties. In: Proceedings of the 2019 IEEE 58th Conference on Decision and Control (CDC). (pp. pp. 5623-5628). IEEE: Nice, France. Green open access

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Abstract

The design of a distributed architecture for the detection of covert attacks in interconnected Cyber-Physical Systems is addressed in this paper, in the presence of stochastic uncertainties. By exploiting communication between neighbors, the proposed scheme allows for the detection of covert attacks that are locally stealthy. The proposed methodology adopts a decentralized filter, jointly estimating the local state and the aggregate effect of the physical interconnections, and uses the communicated estimates to obtain an attack-sensitive residual. We derive some theoretical detection properties for the proposed architecture, and present numerical simulations.

Type: Proceedings paper
Title: A Distributed Approach for the Detection of Covert Attacks in Interconnected Systems with Stochastic Uncertainties
Event: 2019 IEEE 58th Conference on Decision and Control (CDC)
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/CDC40024.2019.9030237
Publisher version: https://doi.org/10.1109/CDC40024.2019.9030237
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.
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/10086879
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