%0 Conference Proceedings
%T Using Safety Constraint for Transactional Dataset Anonymization
%+ Qatar University
%+ Purdue University [West Lafayette]
%A Bouna, Bechara, Al
%A Clifton, Chris
%A Malluhi, Qutaibah
%Z Part 4: Privacy II
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 27th Data and Applications Security and Privacy (DBSec)
%C Newark, NJ, United States
%Y Lingyu Wang
%Y Basit Shafiq
%I Springer
%3 Data and Applications Security and Privacy XXVII
%V LNCS-7964
%P 164-178
%8 2013-07-15
%D 2013
%R 10.1007/978-3-642-39256-6_11
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 11
%Z WG 11.3
%2 https://inria.hal.science/hal-01490703/document
%2 https://inria.hal.science/hal-01490703/file/978-3-642-39256-6_11_Chapter.pdf
%L hal-01490703
%U https://inria.hal.science/hal-01490703
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-WG11-3
%~ IFIP-DBSEC
%~ IFIP-LNCS-7964