关键词: 生物特征认证, 人脸识别, 同态加密, 隐私保护, 大数据安全

Abstract: With the development and application of big data, biometric recognition technology has developed rapidly and has been widely used in new authentication technology. Because the traditional biometricbased identity authentication is mostly carried out in plaintext, and the user’s privacy cannot be adequately guaranteed, this paper proposes and designs a face recognition privacy protection method based on homomorphic encryption technology based on the above defects. This method firstly uses the current popular authentication model FaceNet to extract the user’s biometric information, and then encrypts the extracted feature information with the help of RLWE based homomorphic encryption technology to ensure that when the biometric information is outsourced to the server for distance calculation, the user’s private data will not be disclosed and the server will not snoop on the user’s behavior. At the same time, in the process of identity authentication, the concept of random number is introduced to prevent illegal users from replaying attacks on the server.Experiments show that the method can still ensure high accuracy and feasibility in the state of ciphertext.

Key words: biometric verification, face identification, homomorphic encryption, privacy protection, big data security