Multirelational k-Anonymity

  title={Multirelational k-Anonymity},
  author={Mehmet Ercan Nergiz and Chris Clifton and Ahmet Erhan Nergiz},
  journal={IEEE Transactions on Knowledge and Data Engineering},
k-anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-anonymous data set, any identifying information occurs in at least k tuples. Much research has been done to modify a single-table data set to satisfy anonymity constraints. This paper extends the definitions of k-anonymity to multiple relations and shows that previously proposed methodologies either fail to protect privacy or overly reduce the utility of the data in a multiple relation setting. We… CONTINUE READING
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