Semantic microaggregation for the anonymization of query logs using the Open Directory Project

Arnau Erola, Jordi Castellà-Roca, Guillermo Navarro-Arribas, Vicenç Torra

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)

Abstract

Web search engines gather information from the queries performed by the user in the form of query logs. These logs are extremely useful for research, marketing, or profiling, but at the same time they are a great threat to the user's privacy. We provide a novel approach to anonymize query logs so they ensure user k-anonymity, by extending a common method used in statistical disclosure control: microaggregation. Furthermore, our microaggregation approach takes into account the semantics of the queries by relying on the Open Directory Project. We have tested our proposal with real data from AOL query logs.
Original languageEnglish
Pages (from-to)41-58
JournalSORT
Issue numberSPEC. ISSUE
Publication statusPublished - 1 Sep 2011

Keywords

  • K-anonymity
  • Microaggregation
  • Privacy
  • Query logs
  • Semantic
  • Web search engines

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