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ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
14 years 23 days ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 1 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
INFOCOM
2011
IEEE
12 years 11 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...
DMIN
2009
180views Data Mining» more  DMIN 2009»
13 years 5 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
TDP
2008
160views more  TDP 2008»
13 years 7 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...