DagRep.2.8.16.pdf
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Mobility Data Mining and Privacy (Dagstuhl Seminar 12331)
Authors and all authors of the abstracts in this report
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Part of:
Issue:
Dagstuhl Reports, Volume 2, Issue 8
Volume: Dagstuhl Reports, Volume 2
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2012-11-22
Cite AsGet BibTex
Christopher W. Clifton, Bart Kuijpers, Katharina Morik, and Yucel Saygin. Mobility Data Mining and Privacy (Dagstuhl Seminar 12331). In Dagstuhl Reports, Volume 2, Issue 8, pp. 16-53, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)
https://doi.org/10.4230/DagRep.2.8.16
https://doi.org/10.4230/DagRep.2.8.16
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.
Keywords
- Privacy
- Mobility
- Cellular
- Vehicular Data
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