JSM 2004 - Toronto

Abstract #300243

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Activity Number: 418
Type: Invited
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: National Institute of Statistical Sciences
Abstract - #300243
Title: Data Swapping: Disclosure Risk vs. Data Utility
Author(s): S. Lynne Stokes*+ and George Duncan and Sallie Keller-McNulty
Companies: Southern Methodist University and Carnegie Mellon University and Los Alamos National Laboratory
Address: Department of Statistics, Dallas, TX, 75275,
Keywords: confidentiality ; disclosure limitation ; masking
Abstract:

Data swapping is a useful method for statistical disclosure limitation because of its intuitive appeal and wide use in practice. Its implementation has been largely guided by intuition because of a lack of knowledge of its impact on disclosure risk and data utility. We characterize data swapping as a matrix mask, which allows development of an R-U confidentiality map for simple implementations. This produces a way to help the information organization compare swapping procedures and parameters, such as how swapping partners are chosen or at what level to set the probability of a swap.

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Revised March 2004