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Disconnection-Aware Attack Detection and Isolation With Separation-Based Detector Reconfiguration
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-8598-0348
Graduate School of Engineering, Tokyo Institute of Technology, Tokyo 152-8552, Japan.
Graduate School of Engineering, Tokyo Institute of Technology, Tokyo 152-8552, Japan.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-1835-2963
2022 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 30, no 4, p. 1625-1640Article in journal (Refereed) Published
Abstract [en]

This study addresses incident handling during an adverse event for dynamical networked control systems. Incident handling can be divided into five steps: detection, analysis, containment, eradication, and recovery. For networked control systems, the containment step can be conducted through physical disconnection of an attacked subsystem. In accordance with the disconnection, the equipped attack detection unit should be reconfigured to maintain its detection capability. In particular, separating the detection subunit associated with the disconnected subsystem is considered as a specific reconfiguration scheme in this study. This article poses the problem of disconnection-aware attack detection and isolation with the separation-based detector reconfiguration. The objective is to design an attack detection unit that preserves its detection and isolation capability even under any possible disconnection and separation. The difficulty arises from network topology variation caused by disconnection that can possibly lead to stability loss of the distributed observer inside the attack detection unit. A solution is proposed based on an existing controller design technique referred to as retrofit control. Furthermore, an application to low-voltage power distribution networks with distributed generation is exhibited. Numerical examples evidence the practical use of the proposed method through a benchmark distribution network.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 30, no 4, p. 1625-1640
Keywords [en]
Attack detection, Design methodology, Detectors, Generators, incident handling, Low voltage, Network topology, Networked control systems, Observers, resilient systems, system reconfiguration., Chemical detection, Controllers, Design, Numerical methods, Separation, Topology, Generator, Low voltages, Observer, System reconfiguration
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:kth:diva-312949DOI: 10.1109/TCST.2021.3118213ISI: 000733541100001Scopus ID: 2-s2.0-85117773930OAI: oai:DiVA.org:kth-312949DiVA, id: diva2:1661193
Note

QC 20250402

Available from: 2022-05-25 Created: 2022-05-25 Last updated: 2025-04-02Bibliographically approved

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Sasahara, HampeiSandberg, Henrik

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