Anomaly Identification for Cyber-Physical Systems Subject to Replay Attacks and Sensor Faults

This brief investigates the identification of replay attacks and sensor faults in cyber-physical systems subject to periodic disturbances. For each type of anomaly (replay attack or sensor fault), an anomaly identification framework consisting of an adaptive anomaly isolation estimator (AIE) and an...

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Bibliographic Details
Published inIEEE transactions on circuits and systems. II, Express briefs Vol. 71; no. 12; pp. 5044 - 5048
Main Authors Hu, Yuxiang, Dai, Xuewu, Cui, Dongliang, Liu, Qiang
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Anomaly identification
Circuit faults
Co-design
Cyber-physical systems
Cyberattack
Decoupling
Detectors
Disturbances
Fault detection
Fault diagnosis
Microprocessors
Output feedback
replay attacks
sensor fault
Watermarking
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Summary:This brief investigates the identification of replay attacks and sensor faults in cyber-physical systems subject to periodic disturbances. For each type of anomaly (replay attack or sensor fault), an anomaly identification framework consisting of an adaptive anomaly isolation estimator (AIE) and an anomaly identification processor (AIP) is proposed. By dynamically configuring the blocking zeros within AIE and through co-design with the compensation signal inside AIP, decoupling between the watermarks generated by AIPs for anomaly identification and periodic disturbances can be achieved. Numerical simulation cases validate the effectiveness of the proposed framework.
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ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2024.3349777