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CyPhERS: A cyber-physical event reasoning system providing real-time situational awareness for attack and fault response

Müller, Nils; Bao, Kaibin ORCID iD icon 1; Matthes, Jörg 1; Heussen, Kai
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

Cyber–physical systems (CPSs) constitute the backbone of critical infrastructures such as power grids or water distribution networks. Operating failures in these systems can cause serious risks for society. To avoid or minimize downtime, operators require real-time awareness about critical incidents. However, online event identification in CPSs is challenged by the complex interdependency of numerous physical and digital components, requiring to take cyber attacks and physical failures equally into account. The online event identification problem is further complicated through the lack of historical observations of critical but rare events, and the continuous evolution of cyber attack strategies. This work introduces and demonstrates CyPhERS, a Cyber-Physical Event Reasoning System. CyPhERS provides real-time information pertaining the occurrence, location, physical impact, and root cause of potentially critical events in CPSs, without the need for historical event observations. Key novelty of CyPhERS is the capability to generate informative and interpretable event signatures of known and unknown types of both cyber attacks and physical failures. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000161660
Veröffentlicht am 24.08.2023
Originalveröffentlichung
DOI: 10.1016/j.compind.2023.103982
Scopus
Zitationen: 3
Web of Science
Zitationen: 1
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 10.2023
Sprache Englisch
Identifikator ISSN: 0166-3615
KITopen-ID: 1000161660
HGF-Programm 37.12.01 (POF IV, LK 01) Digitalization & System Technology for Flexibility Solutions
Erschienen in Computers in Industry
Verlag Elsevier
Band 151
Seiten Art.-Nr.: 103982
Vorab online veröffentlicht am 14.07.2023
Schlagwörter Cyber-physical systems, Situational awareness, Event identification, Machine learning, Cyber security
Nachgewiesen in Web of Science
Scopus
Dimensions
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