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A Framework for Attack-Resilient Industrial Control Systems: Attack Detection and Controller Reconfiguration
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH Royal Institute of Technology.
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2017 (English)In: Proceedings of the IEEE, ISSN 0018-9219, E-ISSN 1558-2256, Vol. 106, no 1, p. 113-128Article in journal (Refereed) Published
Abstract [en]

Most existing industrial control systems (ICSs), such as building energy management systems (EMSs), were installed when potential security threats were only physical. With advances in connectivity, ICSs are now, typically, connected to communications networks and, as a result, can be accessed remotely. This extends the attack surface to include the potential for sophisticated cyber attacks, which can adversely impact ICS operation, resulting in service interruption, equipment damage, safety concerns, and associated financial implications. In this work, a novel cyber-physical security framework for ICSs is proposed, which incorporates an analytics tool for attack detection and executes a reliable estimation-based attack-resilient control policy, whenever an attack is detected. The proposed framework is adaptable to already implemented ICS and the stability and optimal performance of the controlled system under attack has been proved. The performance of the proposed framework is evaluated using a reduced order model of a real EMS site and simulated attacks.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 106, no 1, p. 113-128
Keywords [en]
Artifical intelligence, building management systems, cyber-physical security, energy management, industrial control, knowledge-based systems, resilient control, SCADA systems, security analytics, stability, virtual sensor
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-213737DOI: 10.1109/JPROC.2017.2725482ISI: 000418768700009OAI: oai:DiVA.org:kth-213737DiVA, id: diva2:1138642
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Funder
EU, FP7, Seventh Framework Programme, 608224Swedish Research Council, 2013-5523; 2016-0861Swedish Civil Contingencies Agency
Note

QC 20170906

Available from: 2017-09-06 Created: 2017-09-06 Last updated: 2018-01-11Bibliographically approved

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Citation style
  • apa
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Output format
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