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Stability analysis of token-based wireless networked control systems under deception attacks

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posted on 2023-06-09, 13:11 authored by Dajun Du, Changda Zhang, Haikuan Wang, Xue Li, Huosheng Hu, Tai Yang
Currently, cyber-security has attracted a lot of attention, in particular in wireless industrial control networks (WICNs). In this paper, the stability of wireless networked control systems (WNCSs) under deception, attacks is studied with a token-based protocol applied to the data link layer (DLL) of WICNS. Since deception attacks cause the stability problem of WNCSs by changing the data transmitted over a wireless network, it is important to detect deception attacks, discard the injected false data and compensate for the missing data (i.e., the discarded original data with the injected false data). The main contributions of this paper are: 1) With respect to the character of the token-based protocol, a switched system model is developed. Different from the traditional switched system where the number of subsystems is fixed, in our new model this number will be changed under deception attacks. 2) For this model, a new Kalman filter (KF) is developed for the purpose of attack detection and the missing data reconstruction. 3) For the given linear feedback WNCSs, when the noise level is below a threshold derived in this paper, the maximum allowable duration of deception attacks is obtained to maintain the exponential stability of the system. Finally, a numerical example based on a linearized model of an inverted pendulum is provided to demonstrate the proposed design.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Information Sciences

ISSN

0020-0255

Publisher

Elsevier

Volume

459

Page range

168-182

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2018-05-08

First Open Access (FOA) Date

2019-05-03

First Compliant Deposit (FCD) Date

2018-05-08

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