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From t -Closeness to PRAM and Noise Addition Via Information Theory

Author
Rebollo-Monedero, D.; Forne, J.; Domingo, J.
Type of activity
Journal article
Journal
Lecture notes in computer science
Date of publication
2008-09
Volume
5262
First page
100
Last page
112
DOI
https://doi.org/10.1007/978-3-540-87471-3_9 Open in new window
Project funding
Grupo de investigación consolidado GRC-ISG
Abstract
t-Closeness is a privacy model recently defined for data anonymization. A data set is said to satisfy t-closeness if, for each group of records sharing a combination of key attributes, the distance between the distribution of a confidential attribute in the group and the distribution of the attribute in the data is no more than a threshold t. We state here the t-closeness property in terms of information theory and then use the tools of that theory to show that t-closeness can be achieved by the...
Keywords
Information theory, Microdata anonymization, Noise addition, PRAM, Rate distortion theory, t-closeness
Group of research
SISCOM - Smart Services for Information Systems and Communication Networks

Participants

  • Rebollo Monedero, David  (author)
  • Forné, Jordi  (author)
  • Domingo Ferrer, Josep  (author)