Privacy-enabling abstraction and obfuscation techniques for 3D city models

Authors:
Martin Kada;Michael Peter;Dieter Fritsch;Oliver Siemoneit;Christoph Hubig
Affiliations:
University of Stuttgart, Stuttgart, Germany;University of Stuttgart, Stuttgart, Germany;University of Stuttgart, Stuttgart, Germany;University of Stuttgart, Stuttgart, Germany;University of Stuttgart, Stuttgart, Germany
Venue:
Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS
Year:
2009

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Abstract

Privacy and security issues within geospatial information systems are of growing public and scientific interest. Especially with the launch of Google Street View and Google Earth, geospatial data has come to the attention of the public, thereby not only raising support for these technologies, but also massive concerns. It is the duty of science to pick up today's uprising debates and to help structuring them, providing clarifications and different solutions. Thus, the aim of this paper is to contribute in form of an interdisciplinary discussion about privacy issues, both from a philosophical and an engineering point of view. Privacy and its importance are outlined as well as different privacy issues raised concerning the nowadays so popular 3D city models. In addition, technical solutions are shown which allow data providers to preserve privacy, but that won't interfere with the advancements of these technologies.