2013 Fiscal Year Final Research Report
Study on location privacy against inference attacks
Project/Area Number |
23500107
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Computer system/Network
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Research Institution | 大学共同利用機関法人情報・システム研究機構(新領域融合研究センター及びライフサイ (2012-2013) National Institute of Informatics (2011) |
Principal Investigator |
MINAMI Kazuhiro 大学共同利用機関法人情報・システム研究機構(新領域融合研究センター及びライフサイ, 新領域融合研究センター, 特任准教授 (10579410)
|
Project Period (FY) |
2011 – 2013
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Keywords | 位置情報プライバシー / プライバシー保護 / 匿名化 / アクセス制御 / マルコフ連鎖 |
Research Abstract |
The rise of location-sharing services on a number of mobile platforms have recently opened up the possibilities of sharing location information with other users. However, location sharing raises significant privacy concerns because location data (e.g., visiting a hospital) can be used to infer a user's personal activities. Since it is often possible to infer a user's suppressed location data from disclosed public locations considering strong spatial and temporal correlation among them, we develop a new access-control scheme against such inference attacks and conduct experiments with a real location dataset to show the effectiveness of our proposed method.
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