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ICDT
2010
ACM
172views Database» more  ICDT 2010»
8 years 9 months ago
k-jump strategy for preserving privacy in micro-data disclosure
In disclosing micro-data with sensitive attributes, the goal is usually two fold. First, the data utility of disclosed data should be maximized for analysis purposes. Second, the ...
Wen Ming Liu, Lingyu Wang, Lei Zhang
TDP
2008
160views more  TDP 2008»
8 years 4 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...
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
9 years 1 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu
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