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Adaptive secure synchronization of complex networks under mixed attacks via time-controllable technology

Author

Listed:
  • Zhou, Lili
  • Zhang, Yuhao
  • Tan, Fei
  • Huang, Mingzhe

Abstract

This paper mainly investigates the secure synchronization problem of CPSs (Cyber-Physical Systems) under mixed attack via time-controllable technology. The mixed attacks involved in this paper include the node attacks acting on the node state and the edge attacks acting on the network topology. An adaptive pinning scheme that does not rely on the global information of the network is designed. With the construction of the comparison function, the estimation method for the system settling time under mixed attacks is derived. Moreover, the correlation between the system’s settling time and the attack intensity is obtained, such that the given scheme is applicable to both periodic and aperiodic attacks. Several simulation experiments are finally designed to verify the effectiveness of the proposed scheme.

Suggested Citation

  • Zhou, Lili & Zhang, Yuhao & Tan, Fei & Huang, Mingzhe, 2023. "Adaptive secure synchronization of complex networks under mixed attacks via time-controllable technology," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:chsofr:v:176:y:2023:i:c:s0960077923010706
    DOI: 10.1016/j.chaos.2023.114168
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    References listed on IDEAS

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    Cited by:

    1. Lv, Wenshun & Guo, Runan & Wang, Fang, 2024. "Observer-based adaptive neural network control design for nonlinear systems under cyber-attacks through sensor networks," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).

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