Approximate algorithms for K-anonymity

@inproceedings{Park2007ApproximateAF,
  title={Approximate algorithms for K-anonymity},
  author={Hyoungmin Park and Kyuseok Shim},
  booktitle={SIGMOD Conference},
  year={2007}
}
When a table containing individual data is published, disclosure of sensitive information should be prohibitive. A naive approach for the problem is to remove identifiers such as name and social security number. However, linking attacks which joins the published table with other tables on some attributes, called quasi-identifier, may reveal the sensitive information. To protect privacy against linking attack, the notion of k-anonymity which makes each record in the table be indistinguishable… CONTINUE READING
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Anonymizing Tables

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