k-Anonymity in Databases with Timestamped Data

  • Authors:

  • Sergio Mascetti;Claudio Bettini;X. Sean Wang;Sushil Jajodia

  • Affiliations:

  • University of Milan, Italy;University of Milan, Italy;University of Vermont, VT;George Mason University, VA

  • Venue:
  • TIME '06 Proceedings of the Thirteenth International Symposium on Temporal Representation and Reasoning
  • Year:
  • 2006

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Abstract

In this paper we extend the notion of k-anonymity in the context of databases with timestamped information in order to naturally define k-anonymous views of temporal data. We also investigate the problem of obtaining these views. We show that known generalization techniques, despite being applicable under certain conditions, have some limitations, and propose a new generalization algorithm based on the hierarchy of time granularities.