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Testing of IHSN C++ Code and Inclusion of New Methods into sdcMicro

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Privacy in Statistical Databases (PSD 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7556))

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Abstract

The aim of a project initiated by the International Household Survey Network (IHSN, www.ihsn.org ) is to integrate the C++ code they developed to the R package sdcMicro. The methods for microdata perturbation in the R-package sdcMicro are now all based on computational fast C++ code. The paper describes how this integration was done and describes the methods ready to be used. Finally, we give an outline of on-going and further developments which are funded by the IHSN and Google.

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Author information

Authors and Affiliations

  1. Data-Analysis OG, Bergheidengasse 8/1/2, A-1130, Vienna, Austria

    Alexander Kowarik, Matthias Templ & Bernhard Meindl

  2. Statistics Austria, Austria

    Alexander Kowarik, Matthias Templ & Bernhard Meindl

  3. Vienna University of Technology, Austria

    Matthias Templ & Bernd Prantner

  4. OECD, IHSN/ADP Program Coordinator, France

    Francois Fonteneau

Authors
  1. Alexander Kowarik
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  2. Matthias Templ
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  3. Bernhard Meindl
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  4. Francois Fonteneau
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  5. Bernd Prantner
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Editor information

Editors and Affiliations

  1. Departament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili UNESCO Chair in Data Privacy, Av. Països Catalans 26, E-43007, Tarragona, Catalonia, Spain

    Josep Domingo-Ferrer

  2. Dipartimento di Ingegneria Elettrica, Elettronica e delle Telecomunicazioni, di tecnologie Chimiche, Automatica e modelli Matematici, Università degli Studi di Palermo, Viale delle Scienze, edificio 9, 90128, Palermo, Italy

    Ilenia Tinnirello

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Kowarik, A., Templ, M., Meindl, B., Fonteneau, F., Prantner, B. (2012). Testing of IHSN C++ Code and Inclusion of New Methods into sdcMicro. In: Domingo-Ferrer, J., Tinnirello, I. (eds) Privacy in Statistical Databases. PSD 2012. Lecture Notes in Computer Science, vol 7556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33627-0_6

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  • DOI: https://doi.org/10.1007/978-3-642-33627-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33626-3

  • Online ISBN: 978-3-642-33627-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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