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» Anonymizing data with quasi-sensitive attribute values
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ADC
2010
Springer
204views Database» more  ADC 2010»
12 years 11 months ago
Systematic clustering method for l-diversity model
Nowadays privacy becomes a major concern and many research efforts have been dedicated to the development of privacy protecting technology. Anonymization techniques provide an eff...
Md. Enamul Kabir, Hua Wang, Elisa Bertino, Yunxian...
AUSAI
2008
Springer
13 years 6 months ago
L-Diversity Based Dynamic Update for Large Time-Evolving Microdata
Data anonymization techniques based on enhanced privacy principles have been the focus of intense research in the last few years. All existing methods achieving privacy principles ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
PVLDB
2008
150views more  PVLDB 2008»
13 years 4 months ago
Privacy preserving serial data publishing by role composition
Previous works about privacy preserving serial data publishing on dynamic databases have relied on unrealistic assumptions of the nature of dynamic databases. In many applications...
Yingyi Bu, Ada Wai-Chee Fu, Raymond Chi-Wing Wong,...
SDM
2007
SIAM
118views Data Mining» more  SDM 2007»
13 years 6 months ago
On Privacy-Preservation of Text and Sparse Binary Data with Sketches
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
Charu C. Aggarwal, Philip S. Yu
CIKM
2009
Springer
13 years 11 months ago
POkA: identifying pareto-optimal k-anonymous nodes in a domain hierarchy lattice
Data generalization is widely used to protect identities and prevent inference of sensitive information during the public release of microdata. The k-anonymity model has been exte...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...