An Improved Privacy Protection Method for Anonymity of Location k Based on Query Probability

Abstract

Aiming at the existing location privacy protection methods rarely considering the problem of location semantics, query probability, and that the location anonymous server is semi-trusted, an improved method is proposed to protect the user's location privacy. This method uses the structure based on the cooperation of centralized multiple location anonymous servers to solve the semi-trusted problem. The anonymous server generates an anonymous area according to the user-defined location sensitivity level and the historical query probability of location. And considering that the user location is extremely dense or sparse, we introduced personalized requirements, in case the anonymous area is too small to expose privacy and the area of anonymous zone is too large to reduce the service quality. Experimental results show that this method can protect the location privacy of users and improve service quality under the condition of the anonymous server is semi-trusted.