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» On the comparison of microdata disclosure control algorithms
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EDBT
2009
ACM
136views Database» more  EDBT 2009»
13 years 11 months ago
On the comparison of microdata disclosure control algorithms
Privacy models such as k-anonymity and -diversity typically offer an aggregate or scalar notion of the privacy property that holds collectively on the entire anonymized data set....
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
TDP
2008
111views more  TDP 2008»
13 years 4 months ago
Statistical Disclosure Control for Microdata Using the R-Package sdcMicro
The demand for high quality microdata for analytical purposes has grown rapidly among researchers and the public over the last few years. In order to respect existing laws on data ...
Matthias Templ
ACSC
2009
IEEE
13 years 11 months ago
Microdata Protection Through Approximate Microaggregation
Microdata protection is a hot topic in the field of Statistical Disclosure Control, which has gained special interest after the disclosure of 658000 queries by the America Online...
Xiaoxun Sun, Hua Wang, Jiuyong Li
EDBT
2008
ACM
111views Database» more  EDBT 2008»
14 years 4 months ago
Micro-aggregation-based heuristics for p-sensitive k-anonymity: one step beyond
Micro-data protection is a hot topic in the field of Statistical Disclosure Control (SDC), that has gained special interest after the disclosure of 658000 queries by the AOL searc...
Agusti Solanas, Francesc Sebé, Josep Doming...
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 ...