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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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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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.
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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 |
work_keys_str_mv |
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