1（School of Information Engineering，Inner Mongolia University of Science and Technology，Baotou 014010，China）
2（School of Information，Renmin University of China，Beijing 100872，China）
Abstract：With the development and popularization of online social networks，the users are exploding.In the face of massive social network data，the traditional privacy protection technology can not meet the actual needs.Therefore，a distributed social network privacy protection method DAPLR （Distributed Anonymous Protecting Link Relationships） is proposed，which can resist node re-identification attack and edge leakage，which is based on the distributed graph processing system GraphX programming model to follow the “vertext-center”，Through the message between nodes will be N-hop neighbors are divided into a group，effectively protect the node's link relationship，and then use GraphX to group the nodes in the tag k-anonymity.Experiments show that the DAPLR method improves the efficiency of processing largescale social network data，and the published anonymous data has good usability.
2018, Vol. 39 
