Voronoi-based Continuous Query Processing for Mobile Users

The emerging location-detection devices together with ubiquitous connectivity have enabled a large variety of location-based services (LBS). Location-based services are becoming popular for mobile users. The mobile users' location plays a key role to provide the service from one side, but it other side it is dimension of their privacy, so it necessary to keep the user information anonymous to the other parties. Since one important issue in LBS is to achieve an accurate service, hence it is important to use the mobile user accurate location. Using the location accurately raises some concerns on behalf of the user's privacy. One solution for meeting this requirement is using by the means of a anonymizer. Anonymizer uses K-anonymity cloaking the user location to K-anonymizing spatial region (K-ASR). Traditional K-anonymity method needs complex query processing algorithms at the server side and have drawback of tracking user. In this paper we have proposed a new model for mobile users to retrieve the result quickly and increases user's privacy.