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Attack on PPG Biometrics: Presentation Attack by Stealth Recording and Waveform Estimation.

Shun Hinatsu, Daisuke Suzuki, Hiroki Ishizuka

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    This study explores presentation attacks on photoplethysmogram (PPG)-based authentication systems. Researchers found that spoofing attacks using recorded PPG signals can succeed over 80% of the time under ideal conditions.

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    Area of Science:

    • Biometric security
    • Physiological signal processing

    Background:

    • Photoplethysmogram (PPG) signals are increasingly used for biometric authentication.
    • Presentation attacks pose a significant threat to PPG-based systems by mimicking genuine signals.

    Purpose of the Study:

    • To investigate the feasibility of presentation attacks against a PPG-based authentication system.
    • To develop countermeasures for PPG-based biometric security.

    Main Methods:

    • A PPG-based authentication system was developed.
    • Experiments involved recording PPG signals from various body sites.
    • Spoofing signals were generated from recorded non-genuine PPG measurements.

    Main Results:

    • Presentation attacks using spoofed PPG signals were demonstrated.
    • The attack achieved a success probability exceeding 80% under ideal experimental conditions.

    Conclusions:

    • PPG-based authentication systems are vulnerable to sophisticated presentation attacks.
    • Further research is needed to develop robust countermeasures against PPG signal spoofing.