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  1. Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS (SPRINGL '09)
  2. Privacy-enabling abstraction and obfuscation techniques for 3D city models
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The role of security in scientific data management
Security policies for the visualization of Geo Data
Movement data anonymity through generalization
Location-aware privacy and more: a systems approach using context-aware database management systems
Privacy-enabling abstraction and obfuscation techniques for 3D city models
Can an inter-disciplinary research community on location privacy be successful?
A generalized context-based access control model for pervasive environments
Protecting location privacy against spatial inferences: the PROBE approach
Research issues in data provenance for streaming environments
Towards location-based access control in healthcare emergency response
On the impact of localization data in wireless sensor networks with malicious nodes

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

Content Provider ACM Digital Library
Author Hubig, Christoph Kada, Martin Peter, Michael Fritsch, Dieter Siemoneit, Oliver
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.
Starting Page 53
Ending Page 57
Page Count 5
File Format PDF
ISBN 9781605588537
DOI 10.1145/1667502.1667515
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-11-03
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Ethics Privacy Street views 3d city models Privacy-enhancing technologies
Content Type Text
Resource Type Article
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