Using Safety Constraint for Transactional Dataset Anonymization - Data and Applications Security and Privacy XXVII Access content directly
Conference Papers Year : 2013

Using Safety Constraint for Transactional Dataset Anonymization

Bechara Al Bouna
  • Function : Author
  • PersonId : 1004132
Chris Clifton
  • Function : Author
  • PersonId : 1004133
Qutaibah Malluhi
  • Function : Author
  • PersonId : 1004134

Abstract

In this paper, we address privacy breaches in transactional data where individuals have multiple tuples in a dataset. We provide a safe grouping principle to ensure that correlated values are grouped together in unique partitions that enforce l-diversity at the level of individuals. We conduct a set of experiments to evaluate privacy breach and the anonymization cost of safe grouping.
Fichier principal
Vignette du fichier
978-3-642-39256-6_11_Chapter.pdf (481.64 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01490703 , version 1 (15-03-2017)

Licence

Attribution

Identifiers

Cite

Bechara Al Bouna, Chris Clifton, Qutaibah Malluhi. Using Safety Constraint for Transactional Dataset Anonymization. 27th Data and Applications Security and Privacy (DBSec), Jul 2013, Newark, NJ, United States. pp.164-178, ⟨10.1007/978-3-642-39256-6_11⟩. ⟨hal-01490703⟩
45 View
107 Download

Altmetric

Share

Gmail Facebook X LinkedIn More