Research On Privacy Protection In Location Based Service

Location-based service(LBS)has grown exponentially over the past several years with the high speed of internet and wireless location technology.LBS needs user to provide his location and interest,therefore user's privacy becomes the research hotspot and difficulty in location-based service with the development age of Big Data.A strategy on privacy protection in LBS is studied in this paper.This paper complete works as follows:First of all,the current research on the privacy protection in LBS is surveyed.The privacy protecting technologies can be divided into three categories,while there are two architectures in the anonymous space privacy protection methods.Then considering the historical querying probability,the advanced Hilbert curve is applied to divide the anonymous space to get fine-grained grid.The cloak area is optimized with the rule of the same probability and distance priority.Finally a random Exchanging Method is applied to protect user's location privacy and query information,which increased the difficulty for the attacker.In order to verify the effectiveness of Fine-grained Random Exchange privacy protecting Method we proposed,the simulation shows the superiority in cloak area,entropy and other Performance indicators.