Titlebook: Inference Control in Statistical Databases; From Theory to Pract Josep Domingo-Ferrer Book 2002 Springer-Verlag Berlin Heidelberg 2002 comp

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Model Based Disclosure Protectionns (Franconi and Stander [.]) is used for generating flexible perturbation, for the protection varies according to identifiability of the enterprise; a spatial aggregation strategy is also proposed, based on principal components analysis. The inferential usefulness of the released data and the prote

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Mark Elliotcribes the relevant pathologies. The contribution of worldwide leaders including neurosurgeons and otolaryngologists provides top-level expertise in how to tackle each 978-3-030-99323-8978-3-030-99321-4

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Ramesh A. Dandekar,Josep Domingo-Ferrer,Francesc Sebéver fifty projects built over a ten-year period, and includes descriptions, photographs and plans. The projects include residential areas, administration, and office as well as tourist, educational and industri978-3-319-34998-5978-3-319-03635-9Series ISSN 1865-3529 Series E-ISSN 1865-3537

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0302-9743 confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to

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Book 2002computer science..This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.

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Applications of Statistical Disclosure Control at Statistics Netherlandsthe possibility to visit Statistics Netherlands and work on-site in a secure area within Statistics Netherlands. Some examples are given of official statistics in the Netherlands that have benefited from statistical disclosure control techniques.

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LHS-Based Hybrid Microdata vs Rank Swapping and Microaggregation for Numeric Microdata Protectiones. In this paper we utilize unique features of LHS method to create hybrid data sets and evaluate their performance relative to rank swapping and multivariate microaggregation using generalized information loss and disclosure risk measures.

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Empirical Evidences on Protecting Population Uniqueness at Idescat the changes of information loss versus the disclosure risk variations in the dissemination of anonymized registers. These results should be systematically extented to both social and business (micro)data so as they could allow us to test the effectiveness of new μ-ARGUS features in the undergoing CASC project.