A Privacy-Preserving Architecture for the Semantic Web Based on Tag Suppression

  • Javier Parra-Arnau
  • David Rebollo-Monedero
  • Jordi Forné
Conference paper

DOI: 10.1007/978-3-642-15152-1_6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6264)
Cite this paper as:
Parra-Arnau J., Rebollo-Monedero D., Forné J. (2010) A Privacy-Preserving Architecture for the Semantic Web Based on Tag Suppression. In: Katsikas S., Lopez J., Soriano M. (eds) Trust, Privacy and Security in Digital Business. TrustBus 2010. Lecture Notes in Computer Science, vol 6264. Springer, Berlin, Heidelberg

Abstract

We propose an architecture that preserves user privacy in the semantic Web via tag suppression. In tag suppression, users may wish to tag some resources and refrain from tagging some others in order to hinder privacy attackers in their efforts to profile users’ interests. Following this strategy, our architecture helps users decide which tags should be suppressed. We describe the implementation details of the proposed architecture and provide further insight into the modeling of profiles. In addition, we present a mathematical formulation of the optimal trade-off between privacy and tag suppression rate.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Javier Parra-Arnau
    • 1
  • David Rebollo-Monedero
    • 1
  • Jordi Forné
    • 1
  1. 1.Department of Telematics EngineeringTechnical University of Catalonia (UPC)BarcelonaSpain

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