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Volume 17 Issue 2

RWN: A Novel Neighborhood-Based Method for Statistical Disclosure Control

Noah Perry^(a), Norman Matloff^(b),(*), Patrick Tendick^(c)

Transactions on Data Privacy 17:2 (2024) 55 - 88

Abstract, PDF

(a) Department of Statistics, University of California, Davis.

(b) Department of Computer Science, University of California, Davis.

(c) TEKsystems, Inc.

e-mail:; nsmatloff @ucdavis.edu;

Abstract

A novel variation of the data swapping approach to statistical disclosure control is presented, aimed particularly at preservation of multivariate relations in the original dataset for proper statistical analysis. A theorem is proved in support of the method, and extensive empirical investigation is reported.

^* Corresponding author.

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