Protection method of continuous location uploading based on local differential privacy

Abstract

Research on the protection of location privacy of mobile users is now receiving widespread attention. Many scholars have proposed many methods to protect user's location. However, it is still difficult to ensure that the user's location information is not leaked when the user's location is continuously uploaded. In response to these problems, a location privacy protection method based on LDP is proposed. The two-dimensional map is projected into one-dimensional space through the Hilbert curve, and the sub-areas are dynamically divided according to the number of users in the area; the RAPPOR is used to make sure the user's location information is disturbed and then uploaded to the server. In the case of continuous upload, the server can obtain the distribution of users in real time, but cannot know the precise location data of each user. Through experiments on real data sets and simulation experiments, the results prove that the LDP-based location privacy protection method can effectively protect the continuously uploaded user location information from being leaked.