Research And Implementation Of A Personalized Location Privacy Protection Solution Based On Wireless Network

With the advances in wireless communication and network technologies , Location-Based Services (LBS) have been further developed and will be one of the most important value-added services in future wireless network. LBS is one of the wireless value-added services,it provide end-user's location (latitude and longitude coordinates) to users by mobile positioning technology .With the support of digital map platform,It provides users with car navigation services, mobile location services, tourism guides, business promotion and other services. However, the traditional location-based services little consider user privacy; user identity and other sensitive information are exposed to serious harm to the user's security and hinder the development of location-based services. Therefore, the study of privacy protection issues in location-based services has good theoretical and practical significance.In order to achieve the goal that users can provide different level location services for different people and to maintain the privacy and location services balance, this paper presents a personalized location privacy protection solution, it can provide personalized services for different users while protecting the user's location privacy.The concrete steps are: when other users locate to the target user, the system will search for target user's privacy policy tree on the privacy policy server, and get the corresponding privacy level for user, then use the Chinese word segmentation algorithm and the geographical address decoding technology to process the location of target user, at last the processed location is sent to the user and displays in its mobile terminal on an electronic map.To validate the feasibility and effectiveness, this paper design the prototype system for the proposed personalized location privacy protection solution and implement it , then done a series of tests of system function and efficiency , at last made a relevant evaluation, Results demonstrate that the solution can achieve personal location privacy protection purposes.