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Research On Location Privacy-Preserving In Mobile Social Network

Posted on:2019-03-09Degree:MasterType:Thesis
Country:ChinaCandidate:C L CaiFull Text:PDF
GTID:2428330548471180Subject:applied mathematics
Abstract/Summary:PDF Full Text Request
The growth and application of Smart Devices and Geolocation technologies make Location Based Service be a significant service.For one thing,Location Based Service establishes a diversified service platform for the world.For example,it supports users to share locations with their social network friends,provides users with real-time navigation services,and offers people amusement News and delicacies that are around them,etc..For another,humans are confronted with the exposure of sensitive privacy information from Location Based Service.For the problem,this paper proposed two models about mobile social network location privacy-Preserving,named UTS model and CUS" model.Both of them apply BV homomorphic encryption algorithm,which keeps users and friends'location messages being homomorphic,and supports Social Network Server finish location query based on ciphertext.The characteristics of two models are as follows:(1)Models allow users to share their ceurrent locations with social network friends,but without sending any locations plaintext,to the Social Network Server;(2)Models provide users with verifiable query service,and assist users to recognize the correctness of results and know that whether the results have been changed from adversaries.(3)Models support users to classify their social network friends and offers them with personalized query service.(4)Models provide users with feasible query service,making users those who fit their friends7 accessing policies can obtain their locations whenever and wherever they are,and they do not have to be always online to help accessing friends finish querying process.(5)Unlike UTS model,the US model not only owns the characteristics of(1-4),but also does not rely on a trusted third party server to perform any computation and query service.The security analysis shows that two models axe feasible and can ensure secure location privacy-preserving query over mobile social network.
Keywords/Search Tags:Location Based Service, Location privacy-preserving, Mobile social network, Homonmorphic Encryption
PDF Full Text Request
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