Perceived K-value location privacy protection method based on LBS in augmented reality

Abstract

In Augmented Reality (AR), users' main concern includes privacy and safety of data. Since location based services(LBS) are one of the major applications of the AR, it is important to have a privacy-aware management of location information, providing location privacy for clients against vulnerabilities or abuse. Here we analyzed the merit and demerit of exiting location privacy protection method. Then a perceived K-value location privacy protection method was raised. Hereafter the protocol of this algorithm was described and simulated in detail. The results demonstrated this method can effectively realize the location privacy protection.