Literature DB >> 34953583

Secure control design for nonlinear cyber-physical systems under DoS, replay, and deception cyber-attacks with multiple transmission channels.

A H Tahoun1, M Arafa2.   

Abstract

This paper introduces the state-/output-feedback control for multi-channel nonlinear cyber-physical systems (CPSs). Many cyber-attacks are considered such as Denial-of-Service (DoS), replay and deception attacks. The deception cyber-attacks can be treated as measurement additive and multiplicative uncertainties. Both time-varying state-dependent and state-independent sensor additive attacks are considered. As DoS attack makes the CPS states unavailable, the standard modeling​ and control methods cannot be applied directly. Alternatively, as attackers in the replay attack re-transmit previous data and prevent the transmission of the more recent data, a delayed model is generated. To deal with these problems, a new observer at the controller side is proposed. It is used to perform two main tasks. The first is to estimate all system states at every time instant. The second is to exclude some unsecured transmitting channels from affecting the system response. Therefore, all attacks in these channels will have no effect on the system response. Using the estimated states, an anti-cyber-attacks state-feedback controller is investigated. Meanwhile, it is verified that the suggested approach certifies the convergence of all the CPSs states under different cyber-attacks. The effectiveness of the proposed secure control approach against different kinds of cyber-attacks is confirmed through two examples with simulation results.
Copyright © 2021 ISA. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cyber-attacks; Deception; DoS; Multi-channel; Observer; Replay

Year:  2021        PMID: 34953583     DOI: 10.1016/j.isatra.2021.11.033

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.911


  1 in total

1.  Reliability model of the security subsystem countering to the impact of typed cyber-physical attacks.

Authors:  Viacheslav Kovtun; Ivan Izonin; Michal Gregus
Journal:  Sci Rep       Date:  2022-07-27       Impact factor: 4.996

  1 in total

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