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Inference Control in Statistical Databases pp 97–116Cite as

Microdata Protection through Noise Addition

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Part of the book series: Lecture Notes in Computer Science ((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.

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Author information

Authors and Affiliations

  1. Federal Statistical Office of Germany, 65180, Wiesbaden

    Ruth Brand

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  1. Ruth Brand
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Editors and Affiliations

  1. Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007, Tarragona, Spain

    Josep Domingo-Ferrer

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© 2002 Springer-Verlag Berlin Heidelberg

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Brand, R. (2002). Microdata Protection through Noise Addition. 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_8

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  • DOI: https://doi.org/10.1007/3-540-47804-3_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43614-0

  • Online ISBN: 978-3-540-47804-1

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