The Research Of Semantic Location Trajectory Privacy Protection In Continuous LBS

With the rapid development of mobile Internet technology and the popularity of intelligent terminal equipment,Location based Service(LBS)has become one of the most popular mobile Internet services.Various LBS brought convenience to people's life,meanwhile,user's location and its related sensitive information is faced with the threat of leaked.The exposure of private information is extremely easy to be used by the attacker,to the immediate interests of the user a serious harm.User's privacy protection in LBS has become a problem demanding prompt solution.Location based service means,Location based service providers,according to the user's current location and query request user submitted,return the query results associated with the location to the user.Under the continuous LBS query requests,a series of position information continuously submitted by the user constitutes the user's moving path.Trajectory data contains abundant spatial and temporal information,which is of great analytical and mining value,and the government and research institutions have strengthened their input to the research of the trajectory data.If such trajectory data is mastered by malicious attackers,personal privacy of users will be at stake.In recent years,trajectory data and its semantic information produced by LBS has become the research hotspot in the field of privacy protection.In view of continuous LBS scenarios problems existed in the trajectory privacy protection methods,this paper summarizes the current research work,analyzes the associated characteristics of the continuous trajectory and the needs and objectives of trajectory protection.Focus on semantic location privacy,a cloaking region generation algorithm based on points of interest(POI)is proposed.A semantic location privacy protection model supporting both K-anonymity and L-diversity is implemented.After that,this paper proposes an innovative architecture of four-tier trajectory privacy protection system.Combined with previous proposed semantic location privacy protection model,a semantic anti-association trajectory privacy protection model is implemented in continuous LBS.