Location privacy-preserving method in LBS based on Voronoi division

In view of low efficiency when the anonymous server faces a large number of users,a cooperative anonymous method is proposed for static and dynamic users respectively.Based on the Voronoi division of the global area,a central server organizes the users in its region to achieve cooperative anonymity,...

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Main Authors: AChun-guang M, HOUChang-li Z, ANGSong-tao Y, HAOYun-long Z
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-05-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015109
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author AChun-guang M
HOUChang-li Z
ANGSong-tao Y
HAOYun-long Z
author_facet AChun-guang M
HOUChang-li Z
ANGSong-tao Y
HAOYun-long Z
author_sort AChun-guang M
collection DOAJ
description In view of low efficiency when the anonymous server faces a large number of users,a cooperative anonymous method is proposed for static and dynamic users respectively.Based on the Voronoi division of the global area,a central server organizes the users in its region to achieve cooperative anonymity,the server needn't construct anonymous region alone for each user,and the burden of the server is reduced.In view of providing actual location when users query from a LBS server,a decrease nearest neighbor query algorithm is proposed.A user's actual location is replaced with a stationary anchor location and gets the points of interest candidate set from the LBS server gradually.By running the algorithm,pre-cise results can be got and avoiding exposure to a user's location privacy.The algorithm can also help to reduce the possi-bility of location inference when the anchor chooses closely to the user.Experiments show that our method can guarantee the user's location privacy,and provide a good working efficiency.
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publisher Editorial Department of Journal on Communications
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spelling doaj-art-dc24d95d4a4b4f9c98d4c61ffe29159b2025-08-20T02:09:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-05-013611259692760Location privacy-preserving method in LBS based on Voronoi divisionAChun-guang MHOUChang-li ZANGSong-tao YHAOYun-long ZIn view of low efficiency when the anonymous server faces a large number of users,a cooperative anonymous method is proposed for static and dynamic users respectively.Based on the Voronoi division of the global area,a central server organizes the users in its region to achieve cooperative anonymity,the server needn't construct anonymous region alone for each user,and the burden of the server is reduced.In view of providing actual location when users query from a LBS server,a decrease nearest neighbor query algorithm is proposed.A user's actual location is replaced with a stationary anchor location and gets the points of interest candidate set from the LBS server gradually.By running the algorithm,pre-cise results can be got and avoiding exposure to a user's location privacy.The algorithm can also help to reduce the possi-bility of location inference when the anchor chooses closely to the user.Experiments show that our method can guarantee the user's location privacy,and provide a good working efficiency.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015109location privacy;cooperative anonymity;anchor;decrease nearest neighbor query
spellingShingle AChun-guang M
HOUChang-li Z
ANGSong-tao Y
HAOYun-long Z
Location privacy-preserving method in LBS based on Voronoi division
Tongxin xuebao
location privacy;cooperative anonymity;anchor;decrease nearest neighbor query
title Location privacy-preserving method in LBS based on Voronoi division
title_full Location privacy-preserving method in LBS based on Voronoi division
title_fullStr Location privacy-preserving method in LBS based on Voronoi division
title_full_unstemmed Location privacy-preserving method in LBS based on Voronoi division
title_short Location privacy-preserving method in LBS based on Voronoi division
title_sort location privacy preserving method in lbs based on voronoi division
topic location privacy;cooperative anonymity;anchor;decrease nearest neighbor query
url http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015109
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AT angsongtaoy locationprivacypreservingmethodinlbsbasedonvoronoidivision
AT haoyunlongz locationprivacypreservingmethodinlbsbasedonvoronoidivision