A Trajectory Preserving Method Based on Semantic Anonymity Proxy

Privacy protection attracts more and more attention from researchers to users. Due to the unreliability of mobile devices which often leads confidential information such as personal trajectory data divulged. We propose a new trajectory privacy protection method based on Semantic Anonymity Proxy proved to have some excellent characteristics. We alter the traditional ways which used to rely on the center anonymous server, adopting semantic anonymity and proxy request to construct the SAP tree on account of background map model to satisfy the location based services. The comparative results have shown that the new method achieves better performance than the classic ways on higher efficiency and quality.