A Real-Time Location Privacy Protection Method Based on Space Transformation

In recent years, mobile internet technology and positioning technology have been rapidly developed and widely used, mobile users can enjoy location-based services through mobile smart devices anywhere and anytime. However, they may lead to the leakage of personal sensitive information such as user's spatial temporal location data and so on. Trying to solve this problem and overcoming the shortcoming of traditional randomized dummy generation algorithm, a real-time location privacy protection algorithm based on spatial transform is proposed in the paper, without influencing the quality of user real-time location service. The algorithm uses the number of interest points in the history log file and the road network topology as the key elements of the query context and the motion model, which makes the generated dummy more realistic and effective in both time and space dimension. And the dummy set is encrypted by using the algorithm based on Hilbert space transformation, to make the user query data more secure. The results of experiment show that the algorithm can improve the effectiveness of dummy and gain better obfuscation query result in condition of preserving user privacy information.