LiVoAuth: Liveness Detection in Voiceprint Authentication with Random Challenges and Detection Modes

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date

2023-06

Department

Department of Communications and Networking

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Language

en

Pages

13

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IEEE Transactions on Industrial Informatics, Volume 19, issue 6, pp. 7676-7688

Abstract

Voiceprint authentication provides great convenience to users in many application scenarios. However, it easily suffers from spoofing attacks including speech synthesis, speech conversion, and speech replay. Liveness detection is an effective way to resist these attacks. But existing methods suffer from many disadvantages, such as extra deployment costs due to precise data collection, environmental disturbance, high computational overhead, and operational complexity. A uniform platform that can offer voiceprint authentication as a service (VAaS) over the cloud is also lacked. Hence, it is imperative to design an economic and effective method for liveness detection in voiceprint authentication. In this article, we propose a novel liveness detection method named LiVoAuth for voiceprint authentication. It applies a randomly generated vector sequence as liveness detection mode (LDM), corresponding to a random challenge code used for authentication. We implement LiVoAuth and conduct a series of user studies to evaluate its performance in terms of accuracy, stability, efficiency, security, and user acceptance.

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Keywords

Spectrogram, Authentication, Speech recognition, Codes, Usability, Microphones, Feature extraction, Identity Authentication, Voiceprint Recog- nition, Spoofing Attack, Liveness Detection

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DOI

10.1109/TII.2022.3213830

Citation

Zhang, R, Yan, Z, Wang, X & Deng, R H 2023, ' LiVoAuth: Liveness Detection in Voiceprint Authentication with Random Challenges and Detection Modes ', IEEE Transactions on Industrial Informatics, vol. 19, no. 6, pp. 7676-7688 . https://doi.org/10.1109/TII.2022.3213830

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https://urn.fi/URN:NBN:fi:aalto-202302011892

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[article-cris] Sähkötekniikan korkeakoulu / ELEC