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dc.contributor.authorMousavinejad, Eman
dc.contributor.authorYang, Fuwen
dc.contributor.authorHan, Qing-Long
dc.contributor.authorVlacic, Ljubo
dc.date.accessioned2019-07-04T12:31:13Z
dc.date.available2019-07-04T12:31:13Z
dc.date.issued2018
dc.identifier.issn2168-2267
dc.identifier.doi10.1109/TCYB.2018.2843358
dc.identifier.urihttp://hdl.handle.net/10072/380049
dc.description.abstractThis paper is concerned with cyber attack detection in a networked control system. A novel cyber attack detection method, which consists of two steps: 1) a prediction step and 2) a measurement update step, is developed. An estimation ellipsoid set is calculated through updating the prediction ellipsoid set with the current sensor measurement data. Based on the intersection between these two ellipsoid sets, two criteria are provided to detect cyber attacks injecting malicious signals into physical components (i.e., sensors and actuators) or into a communication network through which information among physical components is transmitted. There exists a cyber attack on sensors or a network exchanging data between sensors and controllers if there is no intersection between the prediction set and the estimation set updated at the current time instant. Actuators or network transmitting data between controllers and actuators are under a cyber attack if the prediction set has no intersection with the estimation set updated at the previous time instant. Recursive algorithms for the calculation of the two ellipsoid sets and for the attack detection on physical components and the communication network are proposed. Simulation results for two types of cyber attacks, namely a replay attack and a bias injection attack, are provided to demonstrate the effectiveness of the proposed method.
dc.description.peerreviewedYes
dc.description.sponsorshipSwinburne University of Technology ARC
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE
dc.publisher.placeUnited States
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto11
dc.relation.ispartofjournalIEEE Transactions on Cybernetics
dc.relation.urihttp://purl.org/au-research/grants/ARC/DP160103567
dc.relation.grantIDDP160103567
dc.relation.fundersARC
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchApplied mathematics
dc.subject.fieldofresearchAutomation engineering
dc.subject.fieldofresearchComputer vision and multimedia computation
dc.subject.fieldofresearchMachine learning
dc.subject.fieldofresearchcode4602
dc.subject.fieldofresearchcode4901
dc.subject.fieldofresearchcode400702
dc.subject.fieldofresearchcode4603
dc.subject.fieldofresearchcode4611
dc.titleA Novel Cyber Attack Detection Method in Networked Control Systems
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.facultyGriffith Sciences, School of Engineering and Built Environment
gro.rights.copyright© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorVlacic, Ljubo
gro.griffith.authorYang, Fuwen


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