Combine Cache and Chained Cell-shaped for Location privacy in Hot Zone

碩士 === 中原大學 === 資訊工程研究所 === 104 === Because the strange environment when people travel. Users input their queries and use the smartphones’ built-in positioning system to find nearby points of interest (POI) from location based services (LBS). However, users provide real position to query lead to lea...

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Main Authors: Cheng-Yan Tsai, 蔡承諺
Other Authors: Ming-Hour Yang
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/12208587925439209968
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spelling ndltd-TW-104CYCU53920192017-09-24T04:40:41Z http://ndltd.ncl.edu.tw/handle/12208587925439209968 Combine Cache and Chained Cell-shaped for Location privacy in Hot Zone 熱門景點斷鏈位置隱私保護方法 Cheng-Yan Tsai 蔡承諺 碩士 中原大學 資訊工程研究所 104 Because the strange environment when people travel. Users input their queries and use the smartphones’ built-in positioning system to find nearby points of interest (POI) from location based services (LBS). However, users provide real position to query lead to leak personal information and privacy. Currently LBS service privacy protection methods isn’t taking into account the actual map, continuous queries, and known algorithm attack. In order to provide secure and efficient LBS service to users. This paper presents a method combine cache, chained cell-shaped and multi query for location privacy. Attacker can’t use speed limit and other background knowledge to get users’ trajectory. In addition to using the cache data to improve performance and popular POI of location improve hit rate of cache data. Moreover, we produce virtual queries through batch, such that the respective queries can become someone''s virtual query to satisfy their privacy strength. Finally, our approach can save computation and transmission capacity of the server and can’t reduce the user''s privacy. Ming-Hour Yang Jia-Ning Luo 楊明豪 羅嘉寧 2016 學位論文 ; thesis 48 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 中原大學 === 資訊工程研究所 === 104 === Because the strange environment when people travel. Users input their queries and use the smartphones’ built-in positioning system to find nearby points of interest (POI) from location based services (LBS). However, users provide real position to query lead to leak personal information and privacy. Currently LBS service privacy protection methods isn’t taking into account the actual map, continuous queries, and known algorithm attack. In order to provide secure and efficient LBS service to users. This paper presents a method combine cache, chained cell-shaped and multi query for location privacy. Attacker can’t use speed limit and other background knowledge to get users’ trajectory. In addition to using the cache data to improve performance and popular POI of location improve hit rate of cache data. Moreover, we produce virtual queries through batch, such that the respective queries can become someone''s virtual query to satisfy their privacy strength. Finally, our approach can save computation and transmission capacity of the server and can’t reduce the user''s privacy.
author2 Ming-Hour Yang
author_facet Ming-Hour Yang
Cheng-Yan Tsai
蔡承諺
author Cheng-Yan Tsai
蔡承諺
spellingShingle Cheng-Yan Tsai
蔡承諺
Combine Cache and Chained Cell-shaped for Location privacy in Hot Zone
author_sort Cheng-Yan Tsai
title Combine Cache and Chained Cell-shaped for Location privacy in Hot Zone
title_short Combine Cache and Chained Cell-shaped for Location privacy in Hot Zone
title_full Combine Cache and Chained Cell-shaped for Location privacy in Hot Zone
title_fullStr Combine Cache and Chained Cell-shaped for Location privacy in Hot Zone
title_full_unstemmed Combine Cache and Chained Cell-shaped for Location privacy in Hot Zone
title_sort combine cache and chained cell-shaped for location privacy in hot zone
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/12208587925439209968
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