Wp.8 English Only United Nations Statistical Commission and Economic Commission for Europe Conference of European Statisticians European Commission Statistical Office of the European Communities (eurostat) Joint Unece/eurostat Work Session on Statistical Data Confidentiality Microaggregation Heuristics for P-sensitive K-anonymity

نویسندگان

  • Agusti Solanas
  • Josep Domingo-Ferrer
  • Francesc Sebé
چکیده

p-Sensitive k-anonymity is a sophistication of k-anonymity requiring that there be at least p different values for each confidential attribute within the records sharing a combination of key attributes. Like for k-anonymity, the computational approach originally proposed to achieve this property is based on generalization and suppression; this has several data utility problems, such as turning numerical key attributes into categorical, injecting new categories, injecting missing data, etc. We present and evaluate two heuristics for p-sensitive k-anonymity which, being based on microaggregation, overcome most of such drawbacks, while offering a smooth information loss increase as p and k grow.

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تاریخ انتشار 2007