License: 
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.2.8.16
URN: urn:nbn:de:0030-drops-37822
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2012/3782/
Clifton, Christopher W. ;
Kuijpers, Bart ;
Morik, Katharina ;
Saygin, Yucel
Weitere Beteiligte (Hrsg. etc.): Christopher W. Clifton and Bart Kuijpers and Katharina Morik and Yucel Saygin
Mobility Data Mining and Privacy (Dagstuhl Seminar 12331)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar
12331 "Mobility Data Mining and Privacy". Mobility data mining aims to extract knowledge from movement behaviour of people, but this data also poses novel privacy risks. This seminar gathered a multidisciplinary team for a conversation on how to balance the value in mining mobility data with privacy issues. The seminar focused on four key issues: Privacy in vehicular data, in cellular data, context-dependent privacy, and use of location uncertainty to provide privacy.
BibTeX - Entry
@Article{clifton_et_al:DR:2012:3782,
author = {Christopher W. Clifton and Bart Kuijpers and Katharina Morik and Yucel Saygin},
title = {{Mobility Data Mining and Privacy (Dagstuhl Seminar 12331)}},
pages = {16--53},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2012},
volume = {2},
number = {8},
editor = {Christopher W. Clifton and Bart Kuijpers and Katharina Morik and Yucel Saygin},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2012/3782},
URN = {urn:nbn:de:0030-drops-37822},
doi = {10.4230/DagRep.2.8.16},
annote = {Keywords: Privacy, Mobility, Cellular, Vehicular Data}
}
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Keywords: |
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Privacy, Mobility, Cellular, Vehicular Data |
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Collection: |
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Dagstuhl Reports, Volume 2, Issue 8 |
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Issue Date: |
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2012 |
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Date of publication: |
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22.11.2012 |
