Strategies and Tools for Anonymization of Private Location Information using k-path

碩士 === 國立中正大學 === 電機工程研究所 === 102 === The usage of Location-Based Services (LBS) holds a potential privacy issue. People exchange their location for information relative to this location. While most people perceive these information exchange services as useful, there are people who see their privacy...

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Main Authors: Pierre Pascal Lindenberg, 林登堡
Other Authors: Cheng, Bo-Chao
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/85026218543744618941
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spelling ndltd-TW-102CCU004420412015-10-13T23:38:00Z http://ndltd.ncl.edu.tw/handle/85026218543744618941 Strategies and Tools for Anonymization of Private Location Information using k-path 隱私定位資訊之匿名策略與工具:使用 k-path Pierre Pascal Lindenberg 林登堡 碩士 國立中正大學 電機工程研究所 102 The usage of Location-Based Services (LBS) holds a potential privacy issue. People exchange their location for information relative to this location. While most people perceive these information exchange services as useful, there are people who see their privacy threatened by this. In this thesis, we propose two algorithms, k-query to solve the privacy issue for sporadic query-typed LBS, and k-path for continuous location tracking-typed LBS. We take inspiration in k-anonymity to hide our location or trajectory among k locations or trajectories. We introduce our simulator as a tool to test several strategies to hide users' locations. Afterwards, we give an evaluation about the effectiveness of several approaches by using the simulator and data provided by the GeoLife data set. Cheng, Bo-Chao 鄭伯炤 2014 學位論文 ; thesis 89 en_US
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language en_US
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sources NDLTD
description 碩士 === 國立中正大學 === 電機工程研究所 === 102 === The usage of Location-Based Services (LBS) holds a potential privacy issue. People exchange their location for information relative to this location. While most people perceive these information exchange services as useful, there are people who see their privacy threatened by this. In this thesis, we propose two algorithms, k-query to solve the privacy issue for sporadic query-typed LBS, and k-path for continuous location tracking-typed LBS. We take inspiration in k-anonymity to hide our location or trajectory among k locations or trajectories. We introduce our simulator as a tool to test several strategies to hide users' locations. Afterwards, we give an evaluation about the effectiveness of several approaches by using the simulator and data provided by the GeoLife data set.
author2 Cheng, Bo-Chao
author_facet Cheng, Bo-Chao
Pierre Pascal Lindenberg
林登堡
author Pierre Pascal Lindenberg
林登堡
spellingShingle Pierre Pascal Lindenberg
林登堡
Strategies and Tools for Anonymization of Private Location Information using k-path
author_sort Pierre Pascal Lindenberg
title Strategies and Tools for Anonymization of Private Location Information using k-path
title_short Strategies and Tools for Anonymization of Private Location Information using k-path
title_full Strategies and Tools for Anonymization of Private Location Information using k-path
title_fullStr Strategies and Tools for Anonymization of Private Location Information using k-path
title_full_unstemmed Strategies and Tools for Anonymization of Private Location Information using k-path
title_sort strategies and tools for anonymization of private location information using k-path
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/85026218543744618941
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