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Beyond multivariate microaggregation for large record anonymization

Autor
Nin, J.
Tipus d'activitat
Article en revista
Revista
Lecture notes in computer science
Data de publicació
2014
Volum
8313
Pàgina inicial
87
Pàgina final
107
DOI
https://doi.org/10.1007/978-3-319-04178-0_8 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/23297 Obrir en finestra nova
URL
http://link.springer.com/chapter/10.1007%2F978-3-319-04178-0_8 Obrir en finestra nova
Resum
Microaggregation 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, therefore, preserving k -anonymity. Usually, in order to avoid information loss, when records are large, i.e., the number of attributes of the data set is large, this data set is split into smaller blocks of attributes and microaggregation is applied to each block, successively and...
Citació
Nin, J. Beyond multivariate microaggregation for large record anonymization. "Lecture notes in computer science", 2014, vol. 8313, p. 87-107.
Paraules clau
Microaggregation, Privacy in statistical databases, k-anonymity
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants

  • Nin Guerrero, Jordi  (autor)

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