A Polynomial-Time Approximation to Optimal Multivariate Microaggregation

Provided by: Elsevier
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Microaggregation is a family of methods for Statistical Disclosure Control (SDC) of microdata (records on individuals and/or companies), that is, for masking microdata so that they can be released without disclosing private information on the underlying individuals. Microaggregation techniques are currently being used by many statistical agencies. The principle of microaggregation is to group original database records into small aggregates prior to publication. Each aggregate should contain at least k records to prevent disclosure of individual information, where k is a constant value preset by the data protector. In addition to it being a good masking method, microaggregation has recently been shown useful to achieve k-anonymity.

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