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Practical Applications in Statistical Disclosure Control Using R

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Book cover Privacy and Anonymity in Information Management Systems

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

Abstract

The aim is to show how statistical disclosure methods can be applied to data using the R-packages sdcMicro and sdcTable.

The reader of this chapter should be advised how popular methods in microdata protection and tabular protection can be applied within these packages to real-world data.

sdcMicro supports an exploratory approach for the anonymization of both categorical key variables and numerical variables. Hereby, global recoding, local suppression, and risk estimation can be applied interactively. Furthermore, various popular methods for microdata protection will be briefly described, but also some new methods for microdata protection and disclosure risk estimation considering real-life data problems will be introduced.

Additionally, a description of how tabular protection can be applied using the R-package sdcTable is given. The most challenging part from the user point of view is the preliminary data preparation before tabular protection can be applied. In this case, meta information about the hierarchical variables defining the table must be provided by the user.

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Authors and Affiliations

  1. Department of Statistics and Probability Theory, Vienna University of Technology, Wiedner Hauptstr. 7, A-1040, Vienna, Austria

    Mathias Templ

  2. Department of Register, Classification and Methodology, Statistics Austria, Guglgasse 13, A-1110, Vienna, Austria

    Mathias Templ & Bernhard Meindl

Authors
  1. Mathias Templ
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  2. Bernhard Meindl
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Correspondence to Mathias Templ .

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Editors and Affiliations

  1. Dept. Arquitectura de Computadors, Universitat Politècnica de Catalunya, Campus de la UAB s/n, Barcelona, 08034, Spain

    Jordi Nin

  2. Dept. Matematica Aplicada IV, Universitat Politècnica de Catalunya, C. Jordi Girona 1-3, Barcelona, 08034, Spain

    Javier Herranz

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Templ, M., Meindl, B. (2010). Practical Applications in Statistical Disclosure Control Using R. In: Nin, J., Herranz, J. (eds) Privacy and Anonymity in Information Management Systems. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84996-238-4_3

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  • DOI: https://doi.org/10.1007/978-1-84996-238-4_3

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-237-7

  • Online ISBN: 978-1-84996-238-4

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