t-closeness through microaggregation: Strict privacy with enhanced utility preservation

This paper proposes and shows how to use microaggregation to attain t-closeness on top of k-anonymity to protect data releases. The advantages in terms of data utility preservation of microaggregation over classic approaches based on generalizing values are analyzed. Then several microaggregation algorithms for k-anonymous t-closeness are presented and empirically evaluated.