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Fast Attack Detection for Cyber-Physical Systems Using Dynamic Data Encryption.

Tongxiang Li, Bo Chen, Shichao Liu

    IEEE Transactions on Cybernetics
    |December 6, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a unified intrusion detection mechanism for cyber-physical systems (CPSs) using dynamic data encryption. This method rapidly detects various cyber-attacks, including replay and false data injection (FDI), without degrading system performance.

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    Area of Science:

    • Cyber-physical systems security
    • Intrusion detection systems
    • Data encryption

    Background:

    • Cyber-physical systems (CPSs) are vulnerable to sophisticated cyber-attacks targeting data transmission.
    • Existing intrusion detection methods may have limitations in early and rapid detection of diverse attack types.

    Purpose of the Study:

    • To propose a unified intrusion detection mechanism for CPSs.
    • To develop a novel dynamic data encryption scheme for enhanced data transmission security.
    • To enable fast detection of various cyber-attacks.

    Main Methods:

    • A novel dynamic data encryption scheme is developed, utilizing historical data to update a secret key.
    • A dynamic relationship between data, key, and ciphertext is established, designed to be disrupted by attacks.
    • A unified fast attack detection method is proposed, leveraging the dynamic encryption scheme.

    Main Results:

    • The proposed method achieves immediate alarm triggering upon attack initiation, outperforming conventional methods.
    • Detection capabilities cover replay, false data injection (FDI), zero-dynamics, and setpoint attacks.
    • System performance is maintained without degradation during operation.
    • The dynamic encryption scheme reverts to normal operation post-attack.

    Conclusions:

    • The proposed unified intrusion detection mechanism offers rapid and effective defense against diverse cyber-attacks in CPSs.
    • Dynamic data encryption provides a robust foundation for real-time attack detection and system security.
    • The method demonstrates superior performance and resilience compared to traditional approaches.