Privacy protection method in face authentication system based on edge calculation

Abstract

The invention belongs to the technical field of privacy protection in cloud computing and discloses a privacy protection method in face authentication system based on edge calculation. The method comprises the steps that: a camera collects a face image and uploads the face image to a connected edge computing node, an authority assigning mechanism sends a permission vector Li of a user to the edgecomputing node after collecting user face information, an edge computing device carries out feature extraction on a face image of a user requesting registration to obtain a feature vector by using a method based on a deep convolutional neural network, a safe nearest neighbor algorithm is performed to encrypt the feature vector of a registered user, and a secret sharing homomorphic algorithm is performed and n sub-secrets are generated according to the feature vector and are distributively stored in n edge computing devices. The direct upload of sensitive data to a cloud server is avoided, theprivacy of the face data is protected, and the fault tolerance of a system is improved. Results prove that the accuracy of face recognition under a ciphertext of the present invention is completely equal to the accuracy of face recognition under a plaintext.

Description

technical field [0001] The invention belongs to the technical field of privacy protection in cloud computing, and in particular relates to a privacy protection method in a face authentication system based on edge computing. Background technique [0002] At present, the commonly used existing technologies in the industry are as follows: with the continuous development of artificial intelligence and computer vision technology, face recognition technology has been applied in various fields of people's clothing, food, housing and transportation, ushering in the "blowout period" of its application. Compared with traditional password-based identity authentication, face recognition technology has the advantages of being direct and friendly, not easy to be stolen, and non-invasive, and has become the mainstream of the application in the field of identity authentication. A typical solution is to use a third-party face recognition technology provider (for example: face++) to achieve a...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: there is no corresponding security supervision mechanism for face recognition in my country at present; face data is extremely sensitive and contains a large amount of private information of users, and most of them are used as a key to open certain permissions. Password, face recognition is also used as a payment method; therefore, directly uploading face data to face recognition service providers will have the risk of privacy leakage; once face data is stolen, the victim's privacy, life, and property will be destroyed. greatly affected

Images