Exploració per tema "k-anonymity"
Ara es mostren els items 1-5 de 5
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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, ... -
Implementation and evaluation of microaggregation algorithms for categorical data
(Universitat Politècnica de Catalunya, 2022-09-14)
Projecte Final de Màster Oficial
Accés obertIn a growingly digitalised world, the need for data privacy is apparent. Data scientists have contributed much previous work to ensure privacy regarding numerical data attributes in published datasets. However, work with ... -
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. ... -
Incremental k-Anonymous microaggregation in large-scale electronic surveys with optimized scheduling
(Institute of Electrical and Electronics Engineers (IEEE), 2018-10-15)
Article
Accés obertImprovements in technology have led to enormous volumes of detailed personal information made available for any number of statistical studies. This has stimulated the need for anonymization techniques striving to attain a ... -
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 ...