Research On Moving Object Location Anonymization Method In Spatio-temporal Correlation

In recent years, location-based services applications are gradually entering people's daily lives. Although a location-based services is quite convenient, information leakage often occurs. Location information leakage is one of the most interesting content in information leakage of location-based services. However, the concern about privacy disclosure hindered the development of location-based services. Therefore,preservation of an individual's location privacy is one of the key issues in location-based services.The purpose of location privacy protection is to prevent an attacker to obtain accurate information on the user's location. To cope with this problem, the technology for location anonymity has become of popular in location-based services. However, it is easier for attacker to obtain the location information by inference in continuous LBS queries issued by a moving user. And the commonly used anonymous method is difficult to play a protective role ideally.In this paper, we proposed a dummy based method to protect the privacy of location in continuous location-based services queries issued by a moving user. It described the dummy generation method that protecting user's location in real-time and consecutive. The main contributions of this paper are summarized below.Firstly, we get clustering of user's location information in space and time. Due to ensure the credibility of generated dummy user, we take this part as the pretreatment for the following method.Secondly, we proposed a dummy-based anonymization method based on user history location for continuous location-based services queries. Our method specifically carries out the following procedures. (1) For a snapshot query in location-based services, determine the position of a new dummy based on user history location to satisfy the required size of anonymous area. In the paper, with the reclassification of the anonymous area, we implemented a new approach. Our method better meet the individual requirements of users'privacy needs. (2) For continues query in location-based services, determine the movement of a dummy moving with user based on reasonable speed, while improving the effectiveness anonymous.Finally, simulation results on real datasets evaluate the effect of that the proposed method. We compared our method with other existing approaches, and the result shows that DAUHL is an accurate and efficient method.