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» From Data Privacy to Location Privacy: Models and Algorithms
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HICSS
2009
IEEE
144views Biometrics» more  HICSS 2009»
15 years 4 months ago
Privacy Preserving Decision Tree Mining from Perturbed Data
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingh...
SDM
2009
SIAM
125views Data Mining» more  SDM 2009»
15 years 6 months ago
Identifying Unsafe Routes for Network-Based Trajectory Privacy.
In this paper, we propose a privacy model that offers trajectory privacy to the requesters of Location-Based Services (LBSs), by utilizing an underlying network of user movement. ...
Aris Gkoulalas-Divanis, Mohamed F. Mokbel, Vassili...
107
Voted
LOCA
2009
Springer
15 years 4 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
79
Voted
CCS
2007
ACM
15 years 3 months ago
Preserving privacy in gps traces via uncertainty-aware path cloaking
Motivated by a probe-vehicle based automotive traffic monitoring system, this paper considers the problem of guaranteed anonymity in a dataset of location traces while maintainin...
Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabad...
TDP
2008
160views more  TDP 2008»
14 years 9 months ago
Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing
Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-ano...
Xiaoxun Sun, Hua Wang, Jiuyong Li, Traian Marius T...