Research And Implementation Of Mobile User's Location Privacy Protection Method

With the development of information industry,the computer has become the mainstream of today's world.The use of the network,people can be in the network platform for information exchange,shopping and network teaching,the corresponding mobile technology has been rapid development,and these technologies also directly or indirectly promote the mob ile Internet service industry,the most important of which Part of the included location-based services(Location Based Service,LBS).LBS in the modern mobile Internet to bring people a lot of daily convenience,but in the enjoyment of services,because the need for users to send their true location information,so the user's location information is likely to expose,or even endanger personal safety,So the location of privacy issues become a hot issue today.Location privacy protection mainly includes two categories: single point of location privacy protection and continuous location privacy protection(ie track privacy protection).The article is analyzed from these two directions to solve such problems.First of all,in the field of privacy protection in single point position,this paper puts forward the concept of regional level on the basis of predecessors' research,and combines the two methods of regional exchange and regional expansion to form a new location privacy protection method Namely Area Level Location Privacy(ALLP)protection method.In the algorithm of this paper,by introducing the concept of regional level,the area of the user in the interchange center is based on satisfying the privacy requirement of the user,while ensuring the diversity of the user's area and effectively resisting the homogeneous attack.Secondly,this paper proposes a new algorithm based on generalized trajectory privacy protection,namely,Footprint Trall Privacy Protection(FTPP),introduces the footprint mechanism,improves the authenticity of the false location,(LD),trajectory exposure risk(TD),and distance offset(DD)are generated based on user-defined privacy requirements,and the attacker can not use the geographical restrictions to exclude invalid false locations O f the false location of the conditions of constraints,making the false trajectory more authenticity and difficult to be inferred by the attacker to the real information.Finally,the algorithm of ALLP and FTPP proposed in this paper is simulated,and the experimental results are compared with the existing classical algorithms to verify the superiority of the algorithm.