Research And Implement Of Fine-grained Face Privacy Protection In Social Networks

With the increasing popularity of individualized and diversified social network services,social network platforms have sprung up everywhere in people's daily lives.In social networks,the large scale of users,the interaction of mass information and the diversity of services lead to a large amount of shared data,which is mainly formed by images.The coarse-grained access control scheme for sensitive facial information of images makes the shared data spread penetratively in existing social networks.This kind of scheme also causes severe problems in revealing facial sensitive information,and even leads to vicious incidents.However,in the event that users' information was protected comprehensively and compulsively,the security of users would be guaranteed,which will sharply reduce the sense of social experience among users in social networks.Therefore,research on the fine-grained privacy preserving scheme of facial sensitive information in social networks is of great significance.In order to solve a gaming problem that non-sensitive information of images spreads and shares strongly,and facial sensitive information of images is more fine-grained protected,we propose a fine-grained facial sensitive information preserving scheme.The core of the scheme depends on the fine-grained relationships among users.This scheme divides images into facial and non-facial patches closely at the stage of defining access control cell.On the one hand the facial sensitive and non-sensitive areas of the images are separated for fine-grained access control,and on the other hand the performance of the anti-crawler is raised.At the stage of building the access control strategy,we establish fine-grained relationships among users,which contains social initiative and time attributes.In addition,our scheme establishes fine-grained relationships among publishers,visitors and accessing resources,aiming to a more fine-grained access control evidence.At the stage of establishing implementation of the access control strategy,we combine the AES encryption policy with the ABE encryption policy,which not only assures sensitive data security in the process of data transfer,but also achieves changed,fine-grained access control efficiently and dynamically.At the same time,by the distributed face recognition method,this paper launches the secondary development based on UCenter Home,demonstrating the feasibility and the fine-grained privacy preserving capability of facial sensitive information in social networks.