Practical Data-Oriented Microaggregation for Statistical Disclosure Control
IEEE Transactions on Knowledge and Data Engineering
A New Algorithm for Finding Minimal Sample Uniques for Use in Statistical Disclosure Assessment
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A recursive search algorithm for statistical disclosure assessment
Data Mining and Knowledge Discovery
Robustification of Microdata Masking Methods and the Comparison with Existing Methods
PSD '08 Proceedings of the UNESCO Chair in data privacy international conference on Privacy in Statistical Databases
Statistical Disclosure Control for Microdata Using the R-Package sdcMicro
Transactions on Data Privacy
Disclosure risk of synthetic population data with application in the case of EU-SILC
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
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The aim of a project initiated by the International Household Survey Network (IHSN, www.ihsn.org) is to integrate the C++ code they developed to the R package sdcMicro. The methods for microdata perturbation in the R-package sdcMicro are now all based on computational fast C++ code. The paper describes how this integration was done and describes the methods ready to be used. Finally, we give an outline of on-going and further developments which are funded by the IHSN and Google.