Exploració per tema "Statistical disclosure control"
Ara es mostren els items 4-18 de 18
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Block coordinate descent decomposition for statistical data protection using controlled tabular adjustment
(2009-10)
Report de recerca
Accés restringit per acord de confidencialitatTabular data is routinely released by national statistical agencies (NSA) to disseminate aggregated information from some particular microdata. Prior to publication, these tables have to be treated to preserve information ... -
Contributions to record linkage for disclosure risk assessment
(Consejo Superior de Investigaciones Científicas (CSIC), 2009-10-15)
Llibre
Accés restringit per política de l'editorialThis book is about reidentification methods, and, more especifically, about record linkage. This study is motivated on the need to assess in an accurate way the risk of disclosure within the fields of privacy preserving ... -
Efficient k-anonymous microaggregation of multivariate numerical data via principal component analysis
(2019-07-09)
Article
Accés obertk-Anonymous microaggregation is a widespread technique to address the problem of protecting the privacy of the respondents involved beyond the mere suppression of their identifiers, in applications where preserving the ... -
Extending controlled tabular adjustment for non-additive tabular data with negative protection levels
(Institut d'Estadística de Catalunya, 2011)
Article
Accés obertMinimum distance controlled tabular adjustment (CTA) is a recent perturbative methodology for the protection of tabular data. An implementation of CTA was recently used by Eurostat for the protection of European Union ... -
Fix-and-relax approaches for controlled tabular adjustment
(2015-06-01)
Article
Accés obertControlled tabular adjustment (CIA) is a relatively new protection technique for tabular data protection. CTA formulates a mixed integer linear programming problem, which is challenging for tables of moderate size. Even ... -
How to group attributes in multivariate microaggregation
(2008-04-01)
Article
Accés restringit per política de l'editorialMicroaggregation is one of the most employed microdata protection methods. It builds clusters of at least k original records, and then replaces these records with the centroid of the cluster. When the number of attributes ... -
Interval protection of multi-state tabular data
(Universitat Politècnica de Catalunya, 2015-07)
Treball Final de Grau
Accés obertAquest projecte estudia l'aplicació del mètode de Descomposició de Benders pel problema de Protecció per Intervals. S'ha volgut determinar si aquest mètode proporciona més eficiència que la resolució directa del problema. ... -
Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets
(2019-11-11)
Article
Accés obertThe technical contents of this work fall within the statistical disclosure control (SDC) field, which concerns the postprocessing of the demographic portion of the statistical results of surveys containing sensitive personal ... -
Modeling projections in microaggregation
(2008)
Text en actes de congrés
Accés obertMicroaggregation is a method used by statistical agencies to limit the disclosure of sensitive microdata. It has been proven that microaggregation is an NP-hard problem when more than one variable is microaggregated at the ... -
Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis
(Elsevier, 2020-09-01)
Article
Accés obertToday’s countless benefits of exploiting data come with a hefty price in terms of privacy. -Anonymous microaggregation is a powerful technique devoted to revealing useful demographic information of microgroups of people, ... -
Recent advances in optimization techniques for statistical tabular data protection
(Elsevier, 2012-01-16)
Article
Accés obertOne of the main services of National Statistical Agencies (NSAs) for the current Information Society is the dissemination of large amounts of tabular data, which is obtained from microdata by crossing one or more categorical ... -
Revisiting interval protection, a.k.a. partial cell suppression, for tabular data
(Springer, 2016)
Text en actes de congrés
Accés obertInterval protection or partial cell suppression was introduced in “M. Fischetti, J.-J. Salazar, Partial cell suppression: A new methodology for statistical disclosure control, Statistics and Computing, 13, 13–21, 2003” as ... -
Secure and efficient anonymization of distributed confidential databases
(2014)
Article
Accés restringit per política de l'editorialLet us consider the following situation: t entities (e.g., hospitals) hold different databases containing different records for the same type of confidential (e.g., medical) data. They want to deliver a protected version ... -
Symmetric vs asymmetric protection levels in SDC methods for tabular data
(Springer, 2018-09)
Article
Accés obertProtection levels on sensitive cells—which are key parameters of any statistical disclosure control method for tabular data—are related to the difficulty of any attacker to recompute a good estimation of the true cell ... -
Towards the evaluation of time series protection methods
(2009-02-04)
Article
Accés restringit per política de l'editorialThe goal of statistical disclosure control (SDC) is to modify statistical data so that it can be published without releasing confidential information that may be linked to specific respondents. The challenge for SDC is to ...