Research on Co-Location Privacy-Preserving System

Abstract

With the deep integration of mobile, social and location, users share information with location tags and friends labels in mobile social networks, which could result in the disclosure of location privacy of the users and their friends. Because of the complexity of social circles and the difference of relation strength, users have different location privacy-preserving requirements for different friends. Existing location privacy protection methods and mobile social network services pay less attention to the co-location information attack called CF attack for short. A co-location privacy-preserving system framework is proposed, the key technologies of core module called location privacy-preserving agent are explored, novel calculation method of relation strength based on bi-direction interaction frequency between user and friends is given, and two location privacy-preserving algorithms as a defence against CF attack are designed in the paper, which are LPPC based on the user's coordination and CCTA based on the co-location information concealment and time adjustment. Experimental tests on real data sets show that algorithms proposed could be suitable for different location privacy-preserving scenarios and reflect the mapping between intimacy and privacy-preserving requirement effectively, and the system framework could be extended to the location privacy-preserving application for any mobile social network services.