Research On Privacy Protection For Location-Based Services

With the rapid development of mobile technology,location-based services(LBS)have become an indispensable part of people's lives.At the same time,LBS are widely used in people's lives.They play a very important role in people's daily life.However,in the user's location query requests,the user's location and query information will expose the user's location privacy.If the user's information is randomly analyzed,the user's privacy security cannot be guaranteed.Recently,many solutions for protecting location privacy have been proposed by a number of researchers.However,there are still many problems that need to be solved.Therefore,the research on the privacy protection of LBS has received extensive attention from many scholars.In this master thesis,the innovations are as follows:(1)A method of location privacy protection based on multi-level cache mechanism is proposed.This method uses multiple anonymous servers to protect the user's query information and the user's location.Anonymous servers also serve as a cache database for storing query results.User use location and surrounding locations to form a query set of different locations,thereby confusing the real location information of users.This method reduces the interaction between the user and the LBS server while protecting the user's location privacy.(2)A privacy protection method for cache location selection trajectory based on kanonymity is proposed.We use the Manhattan length to determine the distance between two points.The user makes multiple inquiries about the route.We use anonymous servers to anonymously forward user requests.The requested multiple routes form a track anonymous area.The user makes navigation requests for all routes over a period of time to protect user's privacy.