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PrivFace: Fast Privacy-Preserving Face Authentication With Revocable and Reusable Biometric Credentials

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Privacy concerns of using sensitive biometric data as credentials arise with the wide adoption of user-friendly face authentication. To protect the facial features of users, two important functions, i.e., revocability… Click to show full abstract

Privacy concerns of using sensitive biometric data as credentials arise with the wide adoption of user-friendly face authentication. To protect the facial features of users, two important functions, i.e., revocability and reusability, are anticipated to be realized in a privacy-preserving face authentication design. Revocability requires an effective approach to deregister or replace user credentials when the authentication server is compromised; For reusability, the same credentials should appear independently to non-cooperating applications. Accomplishing these two properties is challenging as the uniqueness of facial features. In this article, we present PrivFace, a fast privacy-preserving face authentication, supporting revocable, and reusable biometric credentials. The core innovation is a novel secure inner product protocol that employs a lightweight random masking technique instead of time-consuming public-key cryptographic operations to efficiently measure facial data similarity. We rigorously analyze the security to show that the server cannot acquire the user's sensitive biological features during the authentication. Our experiment with real-world datasets shows that PrivFace is friendly to edge smart devices, which takes less than $100 ms$100ms per successful authentication on a common smartphone and outperforms the prior art J. Lei, Q. Pei et al. [1]. by $20 \times$20×. We have made the relevant codes open-source to the community for further research.

Keywords: mml mml; mml; face authentication; privacy; math

Journal Title: IEEE Transactions on Dependable and Secure Computing
Year Published: 2022

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