Abstract
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.
This paper reports the results of research and analysis undertaken by Census Bureau staff. It has undergone a Census Bureau review more limited in scope than that given to official Census Bureau publications. This report is released to inform interested parties of research and to encourage discussion.
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Yancey, W.E., Winkler, W.E., Creecy, R.H. (2002). Disclosure Risk Assessment in Perturbative Microdata Protection. In: Domingo-Ferrer, J. (eds) Inference Control in Statistical Databases. Lecture Notes in Computer Science, vol 2316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47804-3_11
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DOI: https://doi.org/10.1007/3-540-47804-3_11
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