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Classifying data from protected statistical datasets

Autor
Herranz, J.; Matwin, S.; Nin, J.; Torra Reventos, Vicenc
Tipus d'activitat
Article en revista
Revista
Computers and security
Data de publicació
2010-06-09
Volum
29
Número
8
Pàgina inicial
875
Pàgina final
890
DOI
https://doi.org/10.1016/j.cose.2010.05.005 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/14416 Obrir en finestra nova
URL
http://dx.doi.org/10.1016/j.cose.2010.05.005 Obrir en finestra nova
Resum
Statistical Disclosure Control (SDC) is an active research area in the recent years. The goal is to transform an original dataset X into a protected one X0, such that X0 does not reveal any relation between confidential and (quasi-)identifier attributes and such that X0 can be used to compute reliable statistical information about X. Many specific protection methods have been proposed and analyzed, with respect to the levels of privacy and utility that they offer. However, when measuring utility...
Citació
Herranz, J. [et al.]. Classifying data from protected statistical datasets. "Computers and security", 09 Juny 2010, vol. 29, núm. 8, p. 875-890.
Grup de recerca
MAK - Matemàtica Aplicada a la Criptografia

Participants

  • Herranz Sotoca, Javier  (autor)
  • Matwin, Stan  (autor)
  • Nin Guerrero, Jordi  (autor)
  • Torra Reventos, Vicenc  (autor)

Arxius