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Kd-trees and the real disclosure risks of large statistical databases
(Elsevier, 2011)
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In data privacy, record linkage can be used as an estimator of the disclosure risk of protected data. To
model the worst case scenario one normally attempts to link records from the original data to the protected
data. ...
Secure and efficient anonymization of distributed confidential databases
(2014)
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Let us consider the following situation: t entities (e.g., hospitals) hold different databases containing different records for the same type of confidential (e.g., medical) data. They want to deliver a protected version ...
Classifying data from protected statistical datasets
(2010-06-09)
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Statistical Disclosure Control (SDC) is an active research area in the recent years. The goal is to transform an original dataset X into a protected one X0, such that X0 does not reveal any relation between confidential ...
How to group attributes in multivariate microaggregation
(2008-04-01)
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Microaggregation is one of the most employed microdata protection methods. It builds clusters of at least k original records, and then replaces these records with the centroid
of the cluster. When the number of attributes ...
Distributed privacy-preserving methods for statistical disclosure control
(2010)
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Statistical disclosure control (SDC) methods aim to protect privacy of the confidential information included in some databases, for example by perturbing the non-confidential parts of the original databases. Such methods ...
On the disclosure risk of multivariate microaggregation
(Elsevier Science Ltd., 2008-07-22)
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The aim of data protection methods is to protect a microdata file both minimizing the disclosure risk and preserving the data utility. Microaggregation is one of the most popular such methods among statistical agencies. ...
More hybrid and secure protection of statistical data sets
(IEEE Computer Society Publications, 2012-09)
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Different methods and paradigms to protect data sets containing sensitive statistical information have been proposed and
studied. The idea is to publish a perturbed version of the data set that does not leak confidential ...