Towards Privacy Preserving Information Retrieval through Semantic Microaggregation

  • Authors:

  • Daniel Abril;Guillermo Navarro-Arribas;Vicenc Torra

  • Affiliations:

  • -;-;-

  • Venue:
  • WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
  • Year:
  • 2010

  • Towards knowledge intensive data privacy

    DPM'10/SETOP'10 Proceedings of the 5th international Workshop on data privacy management, and 3rd international conference on Autonomous spontaneous security

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Abstract

In this paper we introduce the problem of providing privacy preserving information for Web indexing, classification, and other information retrieval task. Web pages are represented by a frequency term vector that preserves k-anonymity for all the Web pages. This vector can then be used, for example, to build indexes of classifiers. Our proposal makes use of semantic micro aggregation.