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mmSafe: A Voice Security Verification System Based on Millimeter-Wave Radar.

Zhanjun Hao1,2, Jianxiang Peng1, Xiaochao Dang1,2

  • 1School of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China.

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|December 11, 2022
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Summary
This summary is machine-generated.

This study introduces a millimeter-wave radar system for secure voice authentication in smart devices. It effectively distinguishes speakers and resists playback attacks, enhancing device security.

Keywords:
authenticationmillimeter-waveplayback attackssecurity privacytext-independentvocal cord vibration

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Area of Science:

  • Cybersecurity
  • Signal Processing
  • Biometrics

Background:

  • Smart devices increasingly rely on voice assistants for control.
  • Voice assistants are vulnerable to security threats like outsider speaker intrusion and playback attacks.
  • Existing security measures may not adequately protect voice-controlled smart devices.

Purpose of the Study:

  • To propose a novel millimeter-wave radar-based system for robust voice security authentication.
  • To enhance the security of voice-controlled smart devices against various intrusion methods.
  • To develop a text-independent speaker authentication system.

Main Methods:

  • Extraction of fine-grained vocal cord vibration signals using millimeter-wave radar, filtering out clutter and motion artifacts.
  • Computation of Weighted Mel Frequency Cepstrum Coefficients (MFCCs) as unique biometric features.
  • Implementation of a Weighted MFCCs and Hog-based Support Vector Machine (WMHS) classifier for authentication.

Main Results:

  • The proposed system achieves a high speaker verification accuracy of 93.4%.
  • It demonstrates a low miss detection rate of 5.8% for playback attacks.
  • The system effectively authenticates designated speakers and resists intrusions from unspecified speakers.

Conclusions:

  • Millimeter-wave radar-based voice authentication offers a secure and adaptable solution for smart devices.
  • The WMHS method provides effective text-independent speaker recognition.
  • This technology significantly enhances the security posture of voice-controlled systems against sophisticated attacks.