A Secure Face Verification Scheme Based on Fully Homomorphic Encryption with Anonymity

Abstract

With the widespread adoption of cloud computing, the face verification process often requires the client to upload the face to an untrusted cloud server to obtain the verification results. Privacy leakage issues may arise if the client’s private information is not protected. This paper proposes a secure and anonymous face verification scheme using fully homomorphic encryption technology and SealPIR. Our scheme is a three-party solution that requires a third-party server trusted by the client. This scheme not only prevents the client’s facial data from being obtained by untrusted data servers but also prevents the data server from learning the index corresponding to the face that the client wants to verify. In a single-face verification process, the client only needs to perform one upload operation and one download operation, with a communication volume of 264 KB. We can complete a privacy-protected anonymous face verification process in 84.91 ms.

Empirical Study of Fully Homomorphic Encryption Using Microsoft SEAL

“…Since the conception of fully homomorphic encryption by C. Gentry in 2009, presenting a lattice-based construction that proved the feasibility of FHE [8], the field has seen rapid advancements and an interesting range of applications. The authors in [11] introduce a secure and anonymous face verification scheme utilizing FHE and the SEAL Microsoft library. Their proposal contains a three-party architecture with a client, a data server, and an authentication server.…”