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Disclosure Risk Assessment in Perturbative Microdata Protection

William E. Yancey, William E. Winkler, Robert H. Creecy

KEY WORDS: additive noise, mixtures, rank swapping, EM Algorithm, record linkage


This paper describes methods for data perturbation that include rank swapping and additive noise. It also describes enhanced methods of re-identification using probabilistic record linkage. The empirical comparisons use variants of the framework for measuring information loss and re-identification risk that were introduced by Domingo-Ferrer and Mateo-Sanz.


Source: U.S. Census Bureau, Statistical Research Division

Created: 01-FEB-2002

Source: U.S. Census Bureau | Statistical Research Division | (301) 763-3215 (or |   Last Revised: October 08, 2010