A Practical Privacy-Preserving Face Authentication Scheme with Revocability and Reusability

Revocability and reusability are important properties in an authentication scheme in reality. The former requires that the user credential stored in the authentication server be easily replaced if it is compromised while the latter allows the credentials of the same user to appear independent in cross-domain applications. However, the invariable biometrics features in the face authentication poses a great challenge to accomplishing these two properties. Existing solutions either sacrifice the accuracy of the authentication result or rely on a trusted third party. In this paper, we propose a novel privacy-preserving face authentication scheme without the assistance of an additional server, which achieves both revocability and reusability as well as the same accuracy level of the plaintext face recognition that uses Euclidean distance measure. Moreover, we rigorously analyze the security of our scheme using the simulation technique and conduct the experiment on a real-world dataset to demonstrate its efficiency. We report that a successful user authentication costs less than a second on a smartphone with common specs.