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Microdata Protection through Noise Addition

  • Ruth Brand
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2316)

Abstract

Microdata protection by adding noise is being discussed for more than 20 years now. Several algorithms were developed that have different characteristics. The simplest algorithm consists of adding white noise to the data. More sophisticated methods use more or less complex transformations of the data and more complex error-matrices to improve the results. This contribution gives an overview over the different algorithms and discusses their properties in terms of analytical validity and level of protection. Therefore some theoretical considerations are shown and an illustrating empirical example is given.

Keywords

Statistical disclosure control microdata protection noise addition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Ruth Brand
    • 1
  1. 1.Federal Statistical Office of GermanyWiesbaden

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