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AuthorBaniamerian, A.
AuthorKhorasani, K.
AuthorMeskin, Nader
Available date2022-04-14T08:45:40Z
Publication Date2019
Publication NameProceedings of the IEEE Conference on Decision and Control
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/CDC40024.2019.9029298
URIhttp://hdl.handle.net/10576/29784
AbstractIn this paper, we are mainly concerned with formulation and computation of security indices for linear cyber-physical systems (CPS), where both input and output channels are subjected to malicious cyber attacks. The approaches in the literature for computing security indices (and consequently vulnerability analysis) of CPS are based on algebraic methods and system matrices. In this paper, for the first time in the literature we formally address the security index computation from a geometric systems theory perspective. By utilizing this framework we provide a methodology for computing an upper bound on the security index in a quadratic time complexity with respect to the order of the system (i.e., O(n)). This represents an improvement when compared with the currently available approaches in the literature that have polynomial time complexity (i.e., O(n3) or higher). Unlike the approaches in the literature our methodology does not impose any restriction on representation of the system. A numerical example is also provided to demonstrate and illustrate the capabilities of our proposed approach.
SponsorQatar Foundation;Qatar National Research Fund;Natural Sciences and Engineering Research Council of Canada
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCrime
Cyber Physical System
Embedded systems
Network security
Polynomial approximation
Algebraic method
Computing security
Cyber-physical systems (CPS)
Geometric systems
Input and outputs
Polynomial time complexity
Security indices
Vulnerability analysis
Computer crime
TitleDetermination of Security Index for Linear Cyber-Physical Systems Subject to Malicious Cyber Attacks
TypeConference Paper
Pagination4507-4513
Volume Number2019-December


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