Research On Privacy Protection In Continuous Queries Based On Location Service

With the vigorous development of mobile Internet technology,location based services(LBS) application is gradually accepted by people and widely used. When people used the location based services,trajectory data generated will lead to disclosure of personal privacy.Location privacy protection in order to guarantee the trajectory privacy not to leak out, when users enjoy the location based service. Most existing methods of location privacy protection were designed for snapshot query, which can not apply in continuous query. The system overhead is too large, and the effect is poor. How to protect the user in the continuous query the trajectory of privacy, has become an urgent need to study to solve the problem.This paper studied the location privacy protection on location based services, specific content includes the following two parts:Firstly, proposed a false track privacy protection method based on stop points anonymized. Protection of users’ trajectory privacy is achieved by anonymizing stop points position of users’ trajectory in continuous queries. First of all to preliminary anonymous users’ query service, and then extract the user in the query point. Dummy track method based on grid by merging neighbors grid or neighbors zones to construct the region, using the stay point of the area as a virtual location point to constitute the false path; Besides, proposed a dummy track method based on clustering difference. It constructs the region through the clustering thought, and makes the region keep certain differences between the virtual points. Furthermore, Using the continuous virtual points to build dummy track. It not only meets the needs of the user’s privacy, but also ensures the diversity of semantic point hiding in the area.Secondly, the proposed method used a central server structure,which will produce massive trajectory data. In view of mass trajectory data processing, proposed a track processing scheme based on Map Reduce framework. It divides the stay point in the trajectory of grid area, based on the trajectory data to establish a spatial grid index way.Trajectory data parallel processed in a cluster environment, it makes up for the lack of efficiency in single centralized data produced in the process of processing. Finally, compared the dummy tracks privacy protection method proposed in this paper and other anonymous methods through simulation experiment. And the experiment was made in the a single environment and the cluster environment to prove the correctness and effectiveness of system...