Multiple intelligent terminal sharing face confidential identification method based on cloud environment

Abstract

The invention provides a multiple intelligent terminal sharing face confidential identification method based on a cloud environment, which can be carried out under a secure protocol, and meanwhile simultaneously protect the privacy of user image data and the privacy of a third party face detector. The method applies a secure inner product algorithm to security face detection under a cloud environment for the first time, realizes user image storage in ciphertexts, provides an image query function under a ciphertext state, and prevents the third party face detector from being discovered. In addition, user images storage forms are enciphered in a standard encryption algorithm, and data security can be guaranteed; the secure inner product algorithm is employed for each query, and algorithm complexities are related to selected encryption matrix dimensions; the algorithm complexities are low, and can be flexibly configured according to computational capabilities and security demands; a lot of computation depends on the cloud with a great computational capability, so as to effectively shorten detection time; in addition, the encryption method is easy to realize through software. The multiple intelligent terminal sharing face confidential identification method can be widely applied to cloud computation, face identification, etc.

Description

technical field [0001] The invention belongs to the fields of cryptography and computer vision, in particular to a method for concealed face detection and recognition, in particular to a cloud environment-based multi-smart terminal shared face concealed recognition method. Background technique [0002] In the era of mobile Internet, a surge of mobile users backs up their photos to cloud servers. When a huge number of images are stored on the cloud server, the privacy of users becomes an issue that cannot be ignored, for example, the face information of family members, the possible relationship between people, the geographic location where the photo was taken, home address, work unit, school, etc. etc. will be exposed to unknown dangerous people, threatening personal and property safety. So images should be stored in ciphertext rather than plaintext. At the same time, the face detector used in the face image retrieval service provided by the cloud server is also provided by...

AI Technical Summary

Problems solved by technology

Recently, many researchers have focused on privacy-preserving computer vision problems, most of them using cryptography tools that are not efficient

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