A Searchable Encryption Scheme Over Facial Image

In recent years, facial image search has been widely used. Although offering considerable convenience, facial image search also poses a severe threat to people’s privacy. How to conduct facial image search while protecting privacy has become a challenge. We design a scheme of searchable encryption facial image. The scheme is separated into two phases: uploading phase and retrieval phase. At the phase of uploading, the facial image is divided into two parts: the obfuscated features of the facial image and the encrypted facial image. In the retrieval phase, the facial image features are extracted and the similarity is calculated with the obfuscated facial features in the cloud after being obfuscated to obtain the closest obfuscated facial features and the corresponding encrypted facial image, then the encrypted facial image is decrypted in order to acquire the original facial image. Specifically, Facenet512 is used to collect facial image features while the obfuscation function is designed to obfuscate those facial image features and the Advanced Encryption Standard (AES) algorithm is used to encrypt facial images. Theoretical analysis and experimental results indicate that the scheme possesses favorable performance and high security.