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In order to deal with the problem of trajectory privacy disclosure in mobile social network, this paper proposes a personalized mobile social network trajectory privacy protection scheme based on sensitivity degree. First of all, according to the various types users of different privacy needs, the appropriate protection principles are selected, so as to make up for the traditional privacy protection in the existence of excessive protection or low trajectory defects. Then, the sensitive trajectory anonymous and other related concepts are defined. This scheme was based on some technologies on Tire tree, including construction, pruning and reconstruction. Finally, it evaluated this scheme on real-world data set, the experiment results show that our scheme is better in trajectory location loss ratio and more efficient than state-of-the-art for privacy-preserving.

Research on the Personalized Trajectory Privacy Protection Scheme for Mobile Social Network Based on Sensitivity Degree