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Three Ways to Deal with a Set of Linked SBS Tables Using τ-argus

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Privacy in Statistical Databases (PSD 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6344))

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Abstract

In Council Regulation no. 2701/98 of the European Committee, a framework is given on an extensive set of tables concerning economic statistics. Some of these tables are linked to each other. Until recently, there existed no practical solution to a consistent protection of that set of tables, save for a rather naive one. In this paper we will show the new way specific sets of linked tables can be protected using the τ-argus software and compare this with two other approaches.

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References

  1. Capobianchi, A., Franconi, L.: Cell suppression in linked tables from structural business statistics using Tau-Argus 3.3.0: a conceptual framework. Paper Presented at the NTTS 2009 Conference, Brussels (February 18-20, 2009)

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  7. de Wolf, P.P.: Cell suppression in a special class of linked tables. In: Work Session on Statistical Confidentiallity, Manchester, Luxembourg, December 17-19, pp. 220–226 (2007), Office for Official Publications of the European Communities, ISBN 978-92-79-12055-8

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de Wolf, PP., Hundepool, A. (2010). Three Ways to Deal with a Set of Linked SBS Tables Using τ-argus . In: Domingo-Ferrer, J., Magkos, E. (eds) Privacy in Statistical Databases. PSD 2010. Lecture Notes in Computer Science, vol 6344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15838-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-15838-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15837-7

  • Online ISBN: 978-3-642-15838-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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