Exploració per tema "Microaggregation"
Ara es mostren els items 1-20 de 21
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A comparative study of microaggregation methods
(Institut d'Estadística de Catalunya, 1998)
Article
Accés obertMicroaggregation is a statistical disclosure control technique for microdata. Raw microdata (i.e. individual records) are grouped into small aggregates prior to publication. Each aggregate should contain at least k records ... -
An algorithm for the microaggregation problem using column generation
(2022-08-01)
Article
Accés obertThe field of statistical disclosure control aims to reduce the risk of re-identifying an individual from disseminated data, a major concern among national statistical agencies. Operations Research (OR) techniques have been ... -
An algorithm for the microaggregation problem using column generation
(2020-06)
Report de recerca
Accés obertThe field of Statistical Disclosure Control aims at reducing the risk of re-identification of an individualwhen disseminating data, and it is one of the main concerns of national statistical agencies. OperationsResearch ... -
Analysis of the univariate microaggregation disclosure risk
(2009-08-07)
Article
Accés restringit per política de l'editorialMicroaggregation is a protection method used by statistical agencies to limit the disclosure risk of confidential information. Formally, microaggregation assigns each original datum to a small cluster and then replaces ... -
Attribute selection in multivariate microaggregation
(2008)
Text en actes de congrés
Accés restringit per política de l'editorialMicroaggregation is one of the most employed microdata protection methods. The idea is to build clusters of at least k original records, and then replace them with the centroid of the cluster. When the number of attributes ... -
Beyond multivariate microaggregation for large record anonymization
(2014)
Article
Accés obertMicroaggregation is one of the most commonly employed microdata protection methods. The basic idea of microaggregation is to anonymize data by aggregating original records into small groups of at least k elements and, ... -
Contribucions a la microagregació per a la protecció de dades estadístiques
(Universitat Politècnica de Catalunya, 2003-09-08)
Tesi
Accés obertDesprés de recollir la informació referent a les tècniques pertorbatives més rellevants de control de la revelació de microdades contínues actualment existents, l'objectiu general de la tesi és l'anàlisi i la millora ... -
Differentially private data publishing via cross-moment microaggregation
(Elsevier, 2020-01)
Article
Accés obertDifferential privacy is one of the most prominent privacy notions in the field of anonymization. However, its strong privacy guarantees very often come at the expense of significantly degrading the utility of the protected ... -
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 ... -
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 ... -
Improving microaggregation for complex record anonymization
(Springer Verlag, 2008)
Text en actes de congrés
Accés restringit per política de l'editorialMicroaggregation is one of the most commonly employed microdata protection methods. This method builds clusters of at least k original records and replaces the records in each cluster with the centroid of the cluster. ... -
Integer local search heuristics for the microaggregation problem
(Universitat Politècnica de Catalunya / Universitat de Barcelona, 2022-06)
Projecte Final de Màster Oficial
Accés obertData privacy is a very important topic and there are several techniques that aim to provide it. The field of statistical disclosure control is a subset of these techniques and aims to reduce the risk of re-identifying an ... -
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 ... -
On the disclosure risk of multivariate microaggregation
(Elsevier Science Ltd., 2008-07-22)
Article
Accés restringit per política de l'editorialThe aim of data protection methods is to protect a microdata file both minimizing the disclosure risk and preserving the data utility. Microaggregation is one of the most popular such methods among statistical agencies. ... -
On the use of aggregation operators for location privacy
(2009)
Text en actes de congrés
Accés restringit per política de l'editorialNowadays, the management of sequential and temporal data is an increasing need in many data mining processes. Therefore, the development of new privacy preserving data mining techniques for sequential data is a crucial ... -
On the use of integer programming to pursue optimal microaggregation
(Universitat Politècnica de Catalunya, 2016-01)
Treball Final de Grau
Accés obert
Realitzat a/amb: Consiglio Nazionale delle Ricerche. Istituto di Analisi dei Sistemi ed Informatica “Antonio Ruberti”This document reports a research collaboration in CNR-IASI (Italy) until the 7th of January. Microaggregation is a method for perturbing data in order to avoid individual identification in microdata. In terms of optimization, ... -
p-probabilistic k-anonymous microaggregation for the anonymization of surveys with uncertain participation
(2016-12-13)
Article
Accés obertWe develop a probabilistic variant of k-anonymous microaggregation which we term p-probabilistic resorting to a statistical model of respondent participation in order to aggregate quasi-identifiers in such a manner that ... -
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, ... -
Semantic microaggregation for the anonymization of query logs using the open directory project
(Institut d'Estadística de Catalunya, 2011)
Article
Accés obertWeb search engines gather information from the queries performed by the user in the form of query logs. These logs are extremely useful for research, marketing, or profiling, but at the same time they are a great threat ...