VOLERE: Leakage resilient user authentication based on personal voice challenges
Voiceprint Authentication as a Service (VAaS) offers great convenience due to ubiquity, generality, and usability. Despite its attractiveness, it suffers from user voiceprint leakage over the air or at the cloud, which intrudes user voice privacy and retards its wide adoption. The literature still l...
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sg-smu-ink.sis_research-88232023-05-15T02:50:25Z VOLERE: Leakage resilient user authentication based on personal voice challenges ZHANG, Rui YAN, Zheng WANG, Xuerui DENG, Robert H. Voiceprint Authentication as a Service (VAaS) offers great convenience due to ubiquity, generality, and usability. Despite its attractiveness, it suffers from user voiceprint leakage over the air or at the cloud, which intrudes user voice privacy and retards its wide adoption. The literature still lacks an effective solution on this issue. Traditional methods based on cryptography are too complex to be practically deployed while other approaches distort user voiceprints, which hinders accurate user identification. In this article, we propose a leakage resilient user authentication cloud service with privacy preservation based on random personal voice challenges, named VOLERE (VOice LEakage REsilient). It applies a novel voiceprint synthesis method based on a Log Magnitude Approximate (LMA) vocal tract model to fuse original voices of different speaking modes in order to generate a synthesized voiceprint for authentication. Thus, raw voiceprints of users can be well protected. We implement VOLERE and conduct a series of user tests. Experimental results show sound performance of VOLERE regarding authentication accuracy, efficiency, stability, leakage resilience and user acceptance. In particular, its authentication accuracy is reasonably stable regardless user nationality, gender, age, elapsed time, and environment, as well as variance of speaking modes. 2023-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7820 info:doi/10.1109/TDSC.2022.3147504 https://ink.library.smu.edu.sg/context/sis_research/article/8823/viewcontent/VOLERE_Leakage_Resilient_User_Authentication_Based_on_Personal_Voice_Challenges_pvoa.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University User authentication biometric authentication voiceprint privacy preservation leakage resilience Information Security |
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User authentication biometric authentication voiceprint privacy preservation leakage resilience Information Security ZHANG, Rui YAN, Zheng WANG, Xuerui DENG, Robert H. VOLERE: Leakage resilient user authentication based on personal voice challenges |
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Voiceprint Authentication as a Service (VAaS) offers great convenience due to ubiquity, generality, and usability. Despite its attractiveness, it suffers from user voiceprint leakage over the air or at the cloud, which intrudes user voice privacy and retards its wide adoption. The literature still lacks an effective solution on this issue. Traditional methods based on cryptography are too complex to be practically deployed while other approaches distort user voiceprints, which hinders accurate user identification. In this article, we propose a leakage resilient user authentication cloud service with privacy preservation based on random personal voice challenges, named VOLERE (VOice LEakage REsilient). It applies a novel voiceprint synthesis method based on a Log Magnitude Approximate (LMA) vocal tract model to fuse original voices of different speaking modes in order to generate a synthesized voiceprint for authentication. Thus, raw voiceprints of users can be well protected. We implement VOLERE and conduct a series of user tests. Experimental results show sound performance of VOLERE regarding authentication accuracy, efficiency, stability, leakage resilience and user acceptance. In particular, its authentication accuracy is reasonably stable regardless user nationality, gender, age, elapsed time, and environment, as well as variance of speaking modes. |
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text |
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ZHANG, Rui YAN, Zheng WANG, Xuerui DENG, Robert H. |
author_facet |
ZHANG, Rui YAN, Zheng WANG, Xuerui DENG, Robert H. |
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ZHANG, Rui |
title |
VOLERE: Leakage resilient user authentication based on personal voice challenges |
title_short |
VOLERE: Leakage resilient user authentication based on personal voice challenges |
title_full |
VOLERE: Leakage resilient user authentication based on personal voice challenges |
title_fullStr |
VOLERE: Leakage resilient user authentication based on personal voice challenges |
title_full_unstemmed |
VOLERE: Leakage resilient user authentication based on personal voice challenges |
title_sort |
volere: leakage resilient user authentication based on personal voice challenges |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2023 |
url |
https://ink.library.smu.edu.sg/sis_research/7820 https://ink.library.smu.edu.sg/context/sis_research/article/8823/viewcontent/VOLERE_Leakage_Resilient_User_Authentication_Based_on_Personal_Voice_Challenges_pvoa.pdf |
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