Abstract
The paper introduces into the methodology for disclosure limitation offered by the software package τ-ARGUS. Those methods have been applied to the data sets of a library of close-to-real-life test instances. The paper presents results of the tests, comparing the performance of the methods with respect to key issues such as practical applicability, information loss, and disclosure risk. Based on these results, the paper points out which of the alternative methods offered by the package is likely to perform best in a given situation.
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Giessing, S. (2004). Survey on Methods for Tabular Data Protection in ARGUS. In: Domingo-Ferrer, J., Torra, V. (eds) Privacy in Statistical Databases. PSD 2004. Lecture Notes in Computer Science, vol 3050. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25955-8_1
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DOI: https://doi.org/10.1007/978-3-540-25955-8_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22118-0
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