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Secure Filter for Discrete-Time Delayed Systems Subject to Cyber Attacks

Cyber Physical Systems (CPSs) are defined as the integrations of computation, control, and communication to obtain a prespecified behaviour of the physical processes. Due to their nature, CPSs could be highly affected by security threats. In this research, a secure filter for discrete-time delayed n...

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Bibliographic Details
Published in:Cyber-physical systems 2022-07, Vol.8 (3), p.210-232
Main Authors: Hamdan, Mutaz M., Mahmoud, Magdi S.
Format: Article
Language:English
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Summary:Cyber Physical Systems (CPSs) are defined as the integrations of computation, control, and communication to obtain a prespecified behaviour of the physical processes. Due to their nature, CPSs could be highly affected by security threats. In this research, a secure filter for discrete-time delayed nonlinear systems affected by the two major kinds of cyber attacks i.e. denial-of-service (DoS) and deception attacks is proposed. The cyber attacks are modelled as Bernoulli distributed white sequences with variable probabilities. First, a predefined level of security is guaranteed by setting a sufficient condition using the techniques of stochastic analysis. Second, we obtain the gains of the proposed filter by solving a linear matrix inequality using YALMIP and MATLAB/Simulink. Finally, a numerical example is solved to show the effectiveness of this method on CPSs.
ISSN:2333-5777
2333-5785
DOI:10.1080/23335777.2021.1916230