Anti-Attack Protocol-Based Synchronization Control for Fuzzy Complex Dynamic Networks

Tao Wu, Jinde Cao, Choon Ki Ahn, Lianglin Xiong, Yang Liu, Hak Keung Lam

Research output: Contribution to journalArticlepeer-review


This article investigates the synchronization control problem of fuzzy complex dynamic networks (FCDNs) with diversified network attacks. By making full use of the weighted historically released packets, a novel anti-Attack memory-based adaptive event-Triggered protocol (AETP) and the corresponding anti-Attack fuzzy memory-based controller are introduced by taking the sporadic denial-of-service (DoS) and deceptive attacks into consideration concurrently. Compared with the conventional event-Triggered protocols and AETPs, the developed anti-Attack memory-based AETP cannot only effectually reduce the frequency of event triggers, but also enhance the transient performance of FCDNs. In addition, in view of a new sampling-instant-dependent piecewise Lyapunov functional, less conservative criteria are induced to guarantee that the stochastically exponential synchronization of FCDNs is accomplished in the case where the deceptive and sporadic DoS attacks coexist. Finally, the merits and validity of the theoretical results are illustrated through numerical examples.

Original languageEnglish
Pages (from-to)3433-3443
Number of pages11
JournalIEEE Transactions on Fuzzy Systems
Issue number6
Publication statusPublished - 2024 Jun 1

Bibliographical note

Publisher Copyright:
© 1993-2012 IEEE.


  • Anti-Attack memory-based adaptive event-Triggered protocol (AETP)
  • deception attacks
  • fuzzy complex dynamic networks (FCDNs)
  • sporadic denial-of-service (DoS) attacks
  • synchronization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Applied Mathematics
  • Control and Systems Engineering
  • Computational Theory and Mathematics


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