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. © 2002 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Yancey, W. E., Winkler, W. E., & Creecy, R. H. (2002). Disclosure risk assessment in perturbative microdata protection. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2316, 135–152. https://doi.org/10.1007/3-540-47804-3_11
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