Publication Type

Journal Article

Version

acceptedVersion

Publication Date

6-2023

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. Experimental results demonstrate its advantages compared with cutting-edge methods.

Keywords

Identity authentication, liveness detection, spoofing attack, voiceprint recognition

Discipline

Information Security

Research Areas

Cybersecurity

Publication

IEEE Transactions on Industrial Informatics

Volume

19

Issue

6

First Page

7676

Last Page

7688

ISSN

1551-3203

Identifier

10.1109/TII.2022.3213830

Publisher

Institute of Electrical and Electronics Engineers

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/TII.2022.3213830

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