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Dynamic-Memory Event-Based Asynchronous Attack Detection Filtering for a Class Of Nonlinear Cyber-Physical Systems.

Mingqi Xing, Yanqian Wang, Qingle Pang

    IEEE Transactions on Cybernetics
    |May 23, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel method for detecting asynchronous attacks in nonlinear cyber-physical systems (CPS) using a dynamic-memory event-triggered transmission protocol (DMETP). The approach enhances system security against complex false data injection and deception attacks.

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    Area of Science:

    • Cyber-Physical Systems Security
    • Control Theory
    • Networked Systems

    Background:

    • Cyber-physical systems (CPS) face sophisticated asynchronous attacks, including parameter-dependent false data-injection (FDI) and time-delayed multichannel deception attacks.
    • Existing detection methods struggle with the nonlinear, time-varying, and stochastic characteristics of CPS.
    • Event-triggered transmission protocols are crucial for managing network bandwidth but require careful design for effective data transmission.

    Purpose of the Study:

    • To develop an asynchronous attack detection scheme for nonlinear CPS under a novel dynamic-memory event-triggered transmission protocol (DMETP).
    • To model the complex dynamics of CPS using T-S fuzzy singular Semi-Markov jump linear parameter-varying (SS-MJLPV) systems.
    • To convert the attack detection problem into an auxiliary dissipative filtering problem for enhanced security.

    Main Methods:

    • Proposing the dynamic-memory event-triggered transmission protocol (DMETP) to optimize data transmission and packet release.
    • Employing T-S fuzzy singular Semi-Markov jump linear parameter-varying (SS-MJLPV) systems to capture CPS stochastic and nonlinear dynamics.
    • Augmenting system states to design an asynchronous attacks detection filter based on dissipative filtering principles.

    Main Results:

    • Sufficient conditions for the existence of the proposed asynchronous attacks detection filter were derived.
    • The developed DMETP effectively reduces bandwidth pressure while ensuring critical packet capture.
    • The proposed scheme successfully converts asynchronous attack detection into a manageable dissipative filtering problem.

    Conclusions:

    • The novel asynchronous attack detection scheme effectively addresses security challenges in nonlinear CPS.
    • The proposed DMETP offers a practical solution for bandwidth management in networked systems.
    • The methodology, validated on a truck-trailer reversing system, demonstrates significant potential for securing CPS against advanced cyber threats.