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» Preserving Privacy through Data Generation
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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...
VLDB
2007
ACM
138views Database» more  VLDB 2007»
15 years 3 months ago
Minimality Attack in Privacy Preserving Data Publishing
Data publishing generates much concern over the protection of individual privacy. In the well-known kanonymity model and the related models such as l-diversity and (α, k)-anonymi...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, J...
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
15 years 3 months ago
Inference Analysis in Privacy-Preserving Data Re-publishing
Privacy-Preserving Data Re-publishing (PPDR) deals with publishing microdata in dynamic scenarios. Due to privacy concerns, data must be disguised before being published. Research...
Guan Wang, Zutao Zhu, Wenliang Du, Zhouxuan Teng
DAMON
2006
Springer
15 years 1 months ago
Using secure coprocessors for privacy preserving collaborative data mining and analysis
Secure coprocessors have traditionally been used as a keystone of a security subsystem, eliminating the need to protect the rest of the subsystem with physical security measures. ...
Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth Gol...
TDP
2010
140views more  TDP 2010»
14 years 4 months ago
Movement Data Anonymity through Generalization
In recent years, spatio-temporal and moving objects databases have gained considerable interest, due to the diffusion of mobile devices (e.g., mobile phones, RFID devices and GPS ...
Anna Monreale, Gennady L. Andrienko, Natalia V. An...