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Synchronization of Complex Dynamical Networks Subject to DoS Attacks: An Improved Coding-Decoding Protocol.

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    This study develops a secure observer-based controller for communication-constrained complex dynamic networks facing malicious attacks. The method ensures input-to-state stability despite denial-of-service attacks and data transmission limits.

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    Area of Science:

    • Control Systems Engineering
    • Network Security
    • Complex Dynamic Systems

    Background:

    • Complex dynamic networks are vulnerable to malicious attacks, compromising synchronization.
    • Communication constraints and data precision issues hinder robust control design.
    • Denial-of-service (DoS) attacks pose significant threats to data transmission security.

    Purpose of the Study:

    • To design a secure observer-based controller for communication-constrained complex dynamic networks.
    • To address the impact of malicious attacks, specifically DoS attacks with average dwell-time constraints.
    • To ensure input-to-state stability in the presence of communication limitations and cyber threats.

    Main Methods:

    • An improved coding-decoding protocol to generate a bounded encode sequence.
    • Analysis of DoS attack influence on coder strings using average dwell-time constraints.
    • Introduction of a dynamic variable to handle signal overflow within the coding interval.
    • Application of Lyapunov stability theory to derive conditions for system stability.

    Main Results:

    • A bounded encode sequence is achieved through an improved communication protocol.
    • The influence of DoS attacks on the coder string is explicitly analyzed.
    • A dynamic variable successfully mitigates coding scheme unavailability due to signal overflow.
    • Sufficient conditions for input-to-state stability under attack and communication constraints are established.

    Conclusions:

    • The proposed observer-based controller effectively achieves synchronization in complex dynamic networks under attack.
    • The developed method demonstrates robustness against denial-of-service attacks and communication constraints.
    • Simulation results validate the effectiveness of the proposed synchronization strategy for chaotic networks.