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A Survey of Physics-Based Attack Detection in Cyber-Physical Systems
Univ Texas Dallas, Erik Jonsson Sch Engn & Comp Sci, 800 W Campbell Rd, Richardson, TX 75080 USA..
Univ Texas Dallas, Erik Jonsson Sch Engn & Comp Sci, 800 W Campbell Rd, Richardson, TX 75080 USA..
Univ Texas Dallas, Erik Jonsson Sch Engn & Comp Sci, 800 W Campbell Rd, Richardson, TX 75080 USA..
Univ Texas Dallas, Erik Jonsson Sch Engn & Comp Sci, 800 W Campbell Rd, Richardson, TX 75080 USA..
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2018 (English)In: ACM Computing Surveys, ISSN 0360-0300, E-ISSN 1557-7341, Vol. 51, no 4, article id 76Article in journal (Refereed) Published
Abstract [en]

Monitoring the "physics" of cyber-physical systems to detect attacks is a growing area of research. In its basic form, a security monitor creates time-series models of sensor readings for an industrial control system and identifies anomalies in these measurements to identify potentially false control commands or false sensor readings. In this article, we review previous work on physics-based anomaly detection based on a unified taxonomy that allows us to identify limitations and unexplored challenges and to propose new solutions.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2018. Vol. 51, no 4, article id 76
Keywords [en]
Cyber-physical systems, metrics, industrial control systems
National Category
Computer and Information Sciences
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URN: urn:nbn:se:kth:diva-235593DOI: 10.1145/3203245ISI: 000444694000011Scopus ID: 2-s2.0-85053229533OAI: oai:DiVA.org:kth-235593DiVA, id: diva2:1252183
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QC 20181001

Available from: 2018-10-01 Created: 2018-10-01 Last updated: 2019-03-12Bibliographically approved

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