Skip to main content
Conference ProceedingsOPEN ACCESS

Using safety constraint for transactional dataset anonymization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013) 7964 LNCS 164-178
DOI: 10.1007/978-3-642-39256-6_11
4Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

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. © 2013 IFIP International Federation for Information Processing.

Cite

CITATION STYLE

APA

Al Bouna, B., Clifton, C., & Malluhi, Q. (2013). Using safety constraint for transactional dataset anonymization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7964 LNCS, pp. 164–178). https://doi.org/10.1007/978-3-642-39256-6_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free