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Research On The Key Technology Of Protecting Location Privacy Neighbor Queries

Posted on:2019-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:S Y SongFull Text:PDF
GTID:2428330596460877Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Location based service(LBS)brings convenience to people's lives,but it also raises concerns about privacy leakage of user location.With the improvement of people's security awareness,how to protect the location privacy of users while obtaining accurate location services has become a focus of researchers.The protection of location privacy near-neighborhood queries has become one of the research hotspots.This article focuses on the key technologies for protecting location privacy neighbors' queries.The main tasks are as follows:(1)Aiming at the shortcomings of the existing PIR(Private Information Retrieval)location privacy protection methods in the system data encoding,the query efficiency is low and the system security is relatively insufficient,a privacy location neighbor query method based on a random sequence protection is proposed.The introduction of random sequences for data encoding reduces data encoding time and improves privacy protection security.At the same time,a hash table structure is designed on the server side to improve the efficiency of privacy protection of neighbors.(2)An anonymous method for location of road network environment based on user distribution equilibrium is proposed.The third-party anonymous server is abandoned and the anonymous interaction is formed directly through the client server.In the process of forming the anonymous area,the mobile users in the anonymous area are considered.Balanced distribution achieves an increase in the anonymous success rate.Based on the existing query processing algorithm,the Hash table structure is designed to store the distribution of highway sections at POI points,and at the same time,an index of highway sections is constructed to improve the efficiency of query retrieval.Theoretical analysis and experiments prove that the proposed method can effectively improve the privacy of user location in the neighborhood query.
Keywords/Search Tags:location privacy, neighbor query, PIR, random sequence, user road network distribution equilibrium
PDF Full Text Request
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