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Cluster synchronization control for coupled genetic oscillator networks under denial-of-service attacks: Pinning partial impulsive strategy

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  • Guo, Junfeng
  • Wang, Fei
  • Xue, Qianwen
  • Wang, Mengqing

Abstract

This paper focuses on the security cluster synchronization (CS) of coupled genetic oscillator networks (GONs) with parameters mismatch under denial-of-service (DoS) attacks. Firstly, a model of DoS attacks on the control channel of GONs is established. Then, in order to achieve secure CS of GONs under DoS attacks, a pinning partial impulsive control (PPIC) strategy is proposed for the first time. Compared with the existing pinning impulsive control and partial impulsive control, the PPIC control method only controls part of the molecules of part of the genetic oscillators, so it has better performance in saving control cost. Moreover, we design an algorithm to obtain sufficient conditions for secure CS and the DoS attacks duration ratio that the system can tolerate. In addition, when the system is immune to DoS attacks, it can still achieve CS under PPIC. Finally, two numerical examples based on MATLAB software are presented to demonstrate the effectiveness of the results. The secure synchronization region is obtained, and the convergence efficiency of error systems under PPIC and pinning impulsive control is compared in the simulation.

Suggested Citation

  • Guo, Junfeng & Wang, Fei & Xue, Qianwen & Wang, Mengqing, 2023. "Cluster synchronization control for coupled genetic oscillator networks under denial-of-service attacks: Pinning partial impulsive strategy," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:chsofr:v:177:y:2023:i:c:s0960077923011967
    DOI: 10.1016/j.chaos.2023.114294
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    References listed on IDEAS

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    1. Wang, Fei & Yang, Yongqing, 2018. "Quasi-synchronization for fractional-order delayed dynamical networks with heterogeneous nodes," Applied Mathematics and Computation, Elsevier, vol. 339(C), pages 1-14.
    2. Wang, Fei & Zheng, Zhaowen & Yang, Yongqing, 2021. "Quasi-synchronization of heterogenous fractional-order dynamical networks with time-varying delay via distributed impulsive control," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    3. David T. Riglar & David L. Richmond & Laurent Potvin-Trottier & Andrew A. Verdegaal & Alexander D. Naydich & Somenath Bakshi & Emanuele Leoncini & Lorena G. Lyon & Johan Paulsson & Pamela A. Silver, 2019. "Bacterial variability in the mammalian gut captured by a single-cell synthetic oscillator," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
    4. Errol C. Friedberg, 2003. "DNA damage and repair," Nature, Nature, vol. 421(6921), pages 436-440, January.
    5. Chang, Beibei & Mu, Xiaowu & Yang, Zhe & Fang, Jianyin, 2021. "Event-based secure consensus of muti-agent systems under asynchronous DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 401(C).
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