Anonymous Location Privacy Protection Algorithm Based On Clustering

On the basis of the research on privacy protection,firstly,we summarize the current various models of location privacy,then analyze and state the merit and demerit of various types of location privacy protection technologies.We focus on the central server structure on location privileged space and bring out an anonymous location privacy protection method for the mass equivalent request,which is based on clustering technology.Simultaneously,it formed anonymous domain to meet the needs of each user's privacy.The method is easy to convey.It can protect mobile user location privacy while effectively reduce repetitive cost of computing,also reduce communication costs and improve service quality.An anonymous timer operation is used in the process in order to prevent the degradation of the quality of service owing to a small amount of data not meeting the requirements of anonymity.It also proposes a novel k-value selection method,which does not require the user to provide static value,but from the analysis of users' attributes and social environment in the system to calculate the best user value.In this possession,requirements of the user's privacy are met and unnecessary communication is reduced.Finally,simulation experiments are conducted for testing data sets,highlighting the availability of the algorithm.