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