Identification of sensor replay attacks and physical faults for cyber-physical systems
File(s)
Author(s)
Zhang, Kangkang
Keliris, Christodoulos
Parisini, Thomas
Polycarpou, Marios M
Type
Journal Article
Abstract
This letter proposes a threat discrimination methodology for distinguishing between sensor replay attacks and sensor bias faults, based on the specially designed watermark integrated with adaptive estimation. For each threat type, a watermark is designed based on the changes that the threat imposes on the system. Threat discrimination conditions are rigorously investigated to characterize quantitatively the class of attacks and faults that can be discriminated by the proposed scheme. A simulation is presented to illustrate the effectiveness of our approach.
Date Issued
2022-01-01
Date Acceptance
2021-06-04
Citation
IEEE Control Systems Letters, 2022, 6, pp.1178-1183
ISSN
2475-1456
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1178
End Page
1183
Journal / Book Title
IEEE Control Systems Letters
Volume
6
Copyright Statement
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Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000670543700024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Automation & Control Systems
Watermarking
Cyberattack
Technological innovation
Fault diagnosis
Detectors
Toy manufacturing industry
Time measurement
Threat discrimination
replay attack
sensor bias fault
cyber-physical systems
RESILIENT CONTROL
SCHEME
Publication Status
Published
Date Publish Online
2021-06-16