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Application of Perturbative SDC Techniques for Microdata

  • Leon Willenborg
  • Ton de Waal
Part of the Lecture Notes in Statistics book series (LNS, volume 155)

Abstract

In this chapter we consider the application of some perturbative techniques to produce safe microdata. As discussed in Chapter 2, the risk of disclosure is conceived of as arising from the possibility that an intruder matches the values of key variables in the microdata to corresponding values in prior information. The approach in this chapter is to perturb the values of potential key variables in the microdata so that they cannot be matched to external data sources so easily.

Keywords

Auxiliary Variable Stochastic Matrix Adjustment Weight Disclosure Risk Disclosure Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Leon Willenborg
    • 1
  • Ton de Waal
    • 1
  1. 1.Department of Statistical MethodsStatistics NetherlandsVoorburgThe Netherlands

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