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URN: urn:nbn:de:0030-drops-37822
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Weitere Beteiligte (Hrsg. etc.): Christopher W. Clifton and Bart Kuijpers and Katharina Morik and Yucel Saygin

Mobility Data Mining and Privacy (Dagstuhl Seminar 12331)

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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 =		{http://dx.doi.org/10.4230/DagRep.2.8.16},
  annote =	{Keywords: Privacy, Mobility, Cellular, Vehicular Data}
}

Keywords: Privacy, Mobility, Cellular, Vehicular Data
Seminar: Dagstuhl Reports, Volume 2, Issue 8
Issue date: 2012
Date of publication: 2012


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