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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. Protecting location privacy against spatial inferences: the PROBE approach
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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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Protecting location privacy against spatial inferences: the PROBE approach

Content Provider ACM Digital Library
Author Bertino, Elisa Silvestri, Claudio Damiani, Maria Luisa
Abstract The widespread adoption of location-based services (LBS) raises increasing concerns for the protection of personal location information. A common strategy, referred to as obfuscation, to protect location privacy is based on forwarding the LSB provider a coarse user location instead of the actual user location. Conventional approaches, based on such technique, are however based only on geometric methods and therefore are unable to assure privacy when the adversary is aware of the geographical context. This paper provides a comprehensive solution to this problem. Our solution presents a novel approach that obfuscates the user location by taking into account the geographical context and user's privacy preferences. We define several theoretical notions underlying our approach. We then propose a strategy for generating obfuscated spaces and an efficient algorithm which implements such a strategy. The paper includes several experimental results assessing performance, storage requirements and accuracy for the approach. The paper also discusses the system architecture and shows that the approach can be deployed also for clients running on small devices.
Starting Page 32
Ending Page 41
Page Count 10
File Format PDF
ISBN 9781605588537
DOI 10.1145/1667502.1667511
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-11-03
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Location privacy Location based services
Content Type Text
Resource Type Article
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