Report from Dagstuhl-Reference-Cited by-同舟云学术

Report from Dagstuhl

Published:2013-07-19 Issue:2 Volume:17 Page:7-18
ISSN:1559-1662
Container-title:ACM SIGMOBILE Mobile Computing and Communications Review
language:en
Short-container-title:SIGMOBILE Mob. Comput. Commun. Rev.

Author:

Andrienko Gennady¹,Gkoulalas-Divanis Aris²,Gruteser Marco³,Kopp Christine¹,Liebig Thomas⁴,Rechert Klaus⁵

Affiliation:

1. Fraunhofer IAIS, St. Augustin, Germany

2. IBM Research, Dublin, Ireland

3. Rutgers University, New Brunswick, U.S.A

4. TU Dortmund University, Dortmund, Germany

5. University of Freiburg, Freiburg i. B., Germany

Abstract

With the emergence of the mobile app ecosystem, user location data has escaped the grip of the tightly regulated telecommunication industry and is now being collected at unprecedented scale and accuracy by mobile advertising, platform, and app providers. This position paper is based on discussions of the authors at the Dagstuhl seminar on Mobility Data Mining and Privacy. It seeks to highlight this shift by providing a tutorial on location data flows and associated privacy risks in this mobile app ecosystem. Moreover, it reflects on the implications of this shift to the mobile privacy research community.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/2505395.2505398

Reference42 articles.

1. Lecture Notes in Geoinformation and Cartography;Andrienko G.,2012

2. From movement tracks through events to places: Extracting and characterizing significant places from mobility data

3. Identifying Place Histories from Activity Traces with an Eye to Parameter Impact

4. Visual Analytics for Understanding Spatial Situations from Episodic Movement Data

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