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» Managing Privacy in LBAC Systems
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KDD
2003
ACM
210views Data Mining» more  KDD 2003»
14 years 9 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton
WPES
2006
ACM
14 years 2 months ago
A study on the value of location privacy
This paper introduces results of a study into the value of location privacy for individuals using mobile devices. We questioned a sample of over 1200 people from five EU countrie...
Daniel Cvrcek, Marek Kumpost, Vashek Matyas, Georg...
LOCA
2009
Springer
14 years 3 months ago
Location Diversity: Enhanced Privacy Protection in Location Based Services
Abstract. Location-based Services are emerging as popular applications in pervasive computing. Spatial k-anonymity is used in Locationbased Services to protect privacy, by hiding t...
Mingqiang Xue, Panos Kalnis, Hung Keng Pung
CIKM
2009
Springer
14 years 1 months ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia
SAC
2004
ACM
14 years 1 months ago
Trust enhanced ubiquitous payment without too much privacy loss
Computational models of trust have been proposed for use in ubicomp environments for deciding whether to allow customers to pay with an e-purse or not. In order to build trust in ...
Jean-Marc Seigneur, Christian Damsgaard Jensen