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Model-based Integrity Monitoring of Industrial Automation And Control Systems

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dc.contributor.authorPeters,Ludger
dc.contributor.authorKhalaf,Mahmoud
dc.contributor.authorWaedt,Karl
dc.contributor.authorSchindler,Josef
dc.contributor.authorBelaidi,Siwar
dc.contributor.editorDemmler, Daniel
dc.contributor.editorKrupka, Daniel
dc.contributor.editorFederrath, Hannes
dc.date.accessioned2022-09-28T17:10:05Z
dc.date.available2022-09-28T17:10:05Z
dc.date.issued2022
dc.description.abstractThis paper aims to enhance cyber security within Electrical Power Systems (EPS) of power plants by extending and using an updated plant simulator. In this paper, we assume a sophisticated attacker, as part of an Advanced Persistent Threat (APT), who gradually damages or manipulates primary assets (in the sense of ISO/IEC 27005:2018, e. g. main cooling water pumps, feedwater pumps, safety valves, and circuit breakers). Accordingly, we assume that the attack agent performs gradual manipulations at the application level. Detecting and predicting a potential anomaly is designed and implemented based on machine learning of expected behavior. The paper will include examples of attacks executed over an extended time period by gradually manipulating combinations of analog and binary signal values or set-points. Challenges related to the training of the detection algorithms, avoidance of false positives, and concise reporting to non-security domain experts will also be addressed.en
dc.identifier.doi10.18420/inf2022_132
dc.identifier.isbn978-3-88579-720-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39487
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-326
dc.subjectDigitial Twin
dc.subjectMachine Learning (ML)
dc.subjectDeep Learning
dc.subjectCyber Security
dc.subjectIIoT
dc.subjectCyber- Physical System (CPS)
dc.subjectSecurity Controls
dc.subjectIndustrial Automation and Control System (IACS)
dc.subjectElectrical Power System (EPS)
dc.titleModel-based Integrity Monitoring of Industrial Automation And Control Systemsen
gi.citation.endPage1550
gi.citation.startPage1539
gi.conference.date26.-30. September 2022
gi.conference.locationHamburg
gi.conference.sessiontitle7th GI/ACM I4.0 Workshop on Industrial Automation and Control Systems

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P326 - INFORMATIK 2022 - Informatik in den Naturwissenschaften