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Secure Fusion Estimation of Energy-Constrained Multisensor System Against Hybrid Attacks.

Zhouqiang Zheng, Haiyu Song, Wen-An Zhang

    IEEE Transactions on Cybernetics
    |July 31, 2025
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    Summary
    This summary is machine-generated.

    This study introduces a secure fusion estimation framework for energy-constrained multisensor systems facing hybrid attacks. The proposed method ensures accurate data fusion despite dual-energy transmission modes and cyber threats, enhancing system security.

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    Area of Science:

    • Cyber-Physical Systems
    • Information Fusion
    • Sensor Networks

    Background:

    • Energy constraints in sensor nodes limit operational lifespan.
    • Dual-energy transmission modes (high/low) impact data accuracy and security.
    • Multisensor systems are vulnerable to hybrid attacks (deception, DoS) at different transmission levels.

    Purpose of the Study:

    • To develop a theoretical framework for secure fusion estimation in energy-constrained multisensor systems.
    • To address hybrid attacks in systems with dual-energy transmission capabilities.
    • To enhance the robustness and reliability of data fusion under adversarial conditions.

    Main Methods:

    • A novel measurement model using Bernoulli and ternary random variables to characterize dual-energy modes and hybrid attacks.
    • Innovation analysis approach to design local secure estimators minimizing estimation errors.
    • An optimal secure fusion algorithm to integrate local estimates for a final fused value.

    Main Results:

    • The proposed framework effectively minimizes local estimation errors.
    • The optimal secure fusion algorithm provides a reliable final estimate.
    • Stability and steady-state properties of the fusion algorithm are rigorously investigated.
    • Simulations demonstrate superior performance compared to existing methods.

    Conclusions:

    • The developed secure fusion estimation framework enhances system security and data integrity.
    • The approach is effective in mitigating hybrid attacks in energy-constrained multisensor systems.
    • The proposed method offers a robust solution for reliable information fusion.