Research On Location Privacy Protection Technology

Currently,the location-aware technologies such as mobile communications and sensing devices are developing rapidly,and the geographic location become more and more ripe.The speed and scale of automatic acquisition of location information by the mobile object's sensor chip have been greatly improved.It is estimated that smart phones,smart wearable devices,and car-positioned navigation devices around the world would generate and upload nearly one billion position information per second.The number will growth continuously.Location big data make tremendously contributes to scientific research.For example,Jana,a wireless data technology company,uses mobile phone data of about 3.5 billion people to explain many major scientific issues.However,it not only brings huge benefits to people,but also brings the risk of leakage of personal privacy.It often contains sensitive information such as the users' personal identity,behavioral preferences,health status and social status.In 2014,the i Phone users privacy disclosure incident revealed that Apple had privately recorded the location information of each time the user used the location-based information service APP and uploaded it to the background database,resulting in a large number of users' privacy leakage.Therefore,how to effectively protect users' personal privacy when users use LBS applications,especially location privacy,has become an urgent problem to be solved.Based on the background of frequent social personal location privacy leak incidents,through reading and analyzing a large number of excellent domestic and foreign literature,this paper analyzes the existing location privacy protection technology defects and deficiencies from the perspective of the users' mobile smart terminal.The paper focuses on the improvement of the location privacy protection technology which based on the distortion-based method.Based on the original encryption distortion algorithm,an improved coordinate conversion method is introduced,and the dummy tree basing on the anonymous-tree privacy protection algorithm of the distributed architecture be applied to generate the dummy element.The anonymous parameter k,which can balance the contradiction between the service quality and the privacy protection is added.Therefore,the privacy protection algorithm can be adapted to different user scenarios.In addition,the anonymous region construction technology has been improved,and LBS query processing technology based on dummy elements has been added,which would further improve the superiority of the algorithm.Through the simulation experiments and comparative analysis of the results,the correctness of the research results obtained in this paper is verified,and the users' participation in the privacy protection of the location is achieved.It is proved that the improved encryption and distortion algorithm can protect personal location privacy information more effectively and safely.