Minimum-distance controlled perturbation methods for large-scale tabular data protection

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Minimum-distance controlled perturbation methods for large-scale tabular data protection

National Statistical Agencies routinely release large amounts of tabular information. Prior to dissemination, tabular data needs to be processed to avoid the disclosure of individual confidential information. One widely used class of methods is based on the modification of the table cells values. However, previous approaches were not able to preserve the values of the marginal cells and the add...

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Computational Experiments with Minimum-Distance Controlled Perturbation Methods

Minimum-distance controlled perturbation is a recent family of methods for the protection of statistical tabular data. These methods are both efficient and versatile, since can deal with large tables of any structure and dimension, and in practice only need the solution of a linear or quadratic optimization problem. The purpose of this paper is to give insight into the behaviour of such methods...

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Controlled tabular adjustment (CTA), and its minimum distance variants, is a recent methodology for the protection of tabular data. Given a table to be protected, the purpose of the method is to find the closest one that guarantees the confidentiality of the sensitive cells. This is achieved by adding slight adjustments to the remaining cells, preferably excluding total ones, whose values are p...

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ژورنال

عنوان ژورنال: European Journal of Operational Research

سال: 2006

ISSN: 0377-2217

DOI: 10.1016/j.ejor.2004.08.034