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» From Data Privacy to Location Privacy: Models and Algorithms
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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
14 years 11 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
SNPD
2007
14 years 11 months ago
Localized Flooding Backbone Construction for Location Privacy in Sensor Networks
Source and destination location privacy is a challenging and important problem in sensor networks. Nevertheless, privacy preserving communication in sensor networks is still a vir...
Yingchang Xiang, Dechang Chen, Xiuzhen Cheng, Kai ...
103
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TDP
2010
189views more  TDP 2010»
14 years 4 months ago
The PROBE Framework for the Personalized Cloaking of Private Locations
The widespread adoption of location-based services (LBS) raises increasing concerns for the protection of personal location information. A common strategy, referred to as obfuscati...
Maria Luisa Damiani, Elisa Bertino, Claudio Silves...
GIS
2008
ACM
15 years 10 months ago
Privacy: preserving trajectory collection
In order to provide context?aware Location?Based Services, real location data of mobile users must be collected and analyzed by spatio?temporal data mining methods. However, the d...
Gyözö Gidófalvi, Torben Bach Pede...
ESAS
2007
Springer
15 years 3 months ago
Multiple Target Localisation in Sensor Networks with Location Privacy
Abstract. It is now well known that data-fusion from multiple sensors can improve detection and localisation of targets. Traditional data fusion requires the sharing of detailed da...
Matthew Roughan, Jon Arnold