δ-Presence without Complete World Knowledge

  • Authors:
  • Mehmet Ercan Nergiz;Chris Clifton

  • Affiliations:
  • Sabanci University, Istanbul;Purdue University, West Lafayette

  • Venue:
  • IEEE Transactions on Knowledge and Data Engineering
  • Year:
  • 2010

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Abstract

Advances in information technology, and its use in research, are increasing both the need for anonymized data and the risks of poor anonymization. In [CHECK END OF SENTENCE], we presented a new privacy metric, \delta-presence, that clearly links the quality of anonymization to the risk posed by inadequate anonymization. It was shown that existing anonymization techniques are inappropriate for situations where \delta--presence is a good metric (specifically, where knowing an individual is in the database poses a privacy risk). This article addresses a practical problem with [CHECK END OF SENTENCE], extending to situations where the data anonymizer is not assumed to have complete world knowledge. The algorithms are evaluated in the context of a real-world scenario, demonstrating practical applicability of the approach.