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Conference Papers Year : 2013

Using Safety Constraint for Transactional Dataset Anonymization

Bechara Al Bouna
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  • 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.
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hal-01490703 , version 1 (15-03-2017)

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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⟩
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