CCE Faculty Articles
Title
Optimal univariate microaggregation with data suppression
Document Type
Article
Date
3-1-2013
Publication Title
Journal of Systems and Software
ISSN or ISBN
0164-1212
Volume
86
Issue
3
First Page
677
Last Page
682
Description
Microaggregation is a disclosure limitation method that provides security through k-anonymity by modifying data before release but does not allow suppression of data. We define the microaggregation problem with suppression (MPS) to accommodate data suppression, and present a polynomial-time algorithm, based on dynamic programming, for optimal univariate microaggregation with suppression. Experimental results demonstrate the practical benefits of suppressing a few carefully selected data points during microaggregation using our method.
DOI
10.1016/j.jss.2012.10.901
NSUWorks Citation
Laszlo, Michael J. and Mukherjee, Sumitra, "Optimal univariate microaggregation with data suppression" (2013). CCE Faculty Articles. 2.
https://nsuworks.nova.edu/gscis_facarticles/2