9 lines
1.1 KiB
TeX
9 lines
1.1 KiB
TeX
\chapter{Abstract}
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Sensors, portable devices, and location based services, generate massive amounts of geo-tagged, and/or location- and user-related data on a daily basis.
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Such data are useful in numerous application domains from healthcare to intelligent buildings and from crowdsourced data collection to traffic monitoring.
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A lot of these data are referring to activities and carrying information of individuals and thus, their manipulation and sharing inevitably arise concerns about the privacy of the individuals involved.
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To address this problem, researchers have already proposed various seminal techniques for the protection of users' privacy.
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However, the continual fashion in which data are generated nowadays, and the high availability of external sources of information, pose more threats and add extra challenges to the problem.
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% In this thesis, we are concerned with and present the work done on data privacy in support of continuous data publication, and report on the proposed solutions, with a special focus on solutions concerning location or georeferenced data.
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