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Attack Detection for Networked Control Systems Using Event-Triggered Dynamic Watermarking

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journal contribution
posted on 12.05.2022, 10:42 by Dajun Du, Changda Zhang, Xue Li, Minrui Fei, Huiyu Zhou

Dynamic watermarking schemes can enhance the cyber attack detection capability of networked control systems (NCSs). This paper presents a linear event-triggered solution to conventional dynamic watermarking (CDW) schemes. Firstly, the limitations of CDW schemes for event-triggered state estimation based NCSs are investigated. Secondly, a new event-triggered dynamic watermarking (ETDW) scheme is designed by treating watermarking as symmetric key encryption, based on the limit convergence theorem in probability. Its security property against the generalized replay attacks (GRAs) is also discussed in the form of bounded asymptotic attack power. Thirdly, finite sample ETDW tests are designed with matrix concentration inequalities. Finally, experimental results of a networked inverted pendulum system demonstrate the validity of our proposed scheme.

Funding

Project of Science and Technology Commission of Shanghai Municipality (Grant Number: 20JC1414000,19510750300, 21190780300)

10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 92067106, 61773253, 61803252, 61833011)

10.13039/501100013314-Higher Education Discipline Innovation Project (Grant Number: D18003)

History

Citation

IEEE Transactions on Industrial Informatics, 2022, https://doi.org/10.1109/TII.2022.3168868

Author affiliation

School of Informatics, University of Leicester

Version

AM (Accepted Manuscript)

Published in

IEEE Transactions on Industrial Informatics

Publisher

Institute of Electrical and Electronics Engineers

issn

1551-3203

Acceptance date

15/04/2022

Copyright date

2022

Available date

12/05/2022

Language

en