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TDP
2008
160views more  TDP 2008»
13 years 10 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...
DAMON
2006
Springer
14 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...
INFOCOM
2011
IEEE
13 years 1 months ago
Reconciling privacy preservation and intrusion detection in sensory data aggregation
—When wireless sensors are deployed to monitor the working or life conditions of people, the data collected and processed by these sensors may reveal privacy of people. The actua...
Chuang Wang, Guiling Wang, Wensheng Zhang 0001, Ta...
JIDM
2010
122views more  JIDM 2010»
13 years 8 months ago
Revisiting "Privacy Preserving Clustering by Data Transformation"
Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering w...
Stanley R. M. Oliveira, Osmar R. Zaïane
HICSS
2009
IEEE
144views Biometrics» more  HICSS 2009»
14 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...