Overcoming the Limitations of k-anonymity Through Association Rule Hiding

The concept of k-anonymity has been proposed as an effective way to anonymise microdata, where every record in the anonymised microdata must be related to at least k other records or individuals. In this paper, author discusses this limitation of k-anonymity and propose an anonymisation approach to overcome this limitation by combining k-anonymisation with association rule hiding.

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