Imperial College London
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ProfessorThomasParisini

Faculty of Engineering, Department of Electrical and Electronic Engineering

Chair in Industrial Control, Head of Group for CAP
 
 
 
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Contact

 

+44 (0)20 7594 6240t.parisini Website

 
 
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Location

 

1114Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zhang:2022:10.1109/LCSYS.2021.3089674,
author = {Zhang, K and Keliris, C and Parisini, T and Polycarpou, MM},
doi = {10.1109/LCSYS.2021.3089674},
journal = {IEEE Control Systems Letters},
pages = {1178--1183},
title = {Identification of sensor replay attacks and physical faults for cyber-physical systems},
url = {http://dx.doi.org/10.1109/LCSYS.2021.3089674},
volume = {6},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Zhang,K
AU  - Keliris,C
AU  - Parisini,T
AU  - Polycarpou,MM
DO  - 10.1109/LCSYS.2021.3089674
EP  - 1183
PY  - 2022///
SN  - 2475-1456
SP  - 1178
TI  - Identification of sensor replay attacks and physical faults for cyber-physical systems
T2  - IEEE Control Systems Letters
UR  - http://dx.doi.org/10.1109/LCSYS.2021.3089674
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000670543700024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/99668
VL  - 6
ER  -
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