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Protecting User Profile Data in WebID-Based Social Networks Through Fine-Grained Filtering

  • Stefan Wild
  • Olexiy Chudnovskyy
  • Sebastian Heil
  • Martin Gaedke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8295)

Abstract

The WebID identification approach allows users to manage their profile data at a self-defined place in the cloud and enables services as well as other requesters to retrieve data stored within these profiles. While existing access control mechanisms can secure entire user profiles from unauthorized access, they lack fine-grained protection of sensitive data within user profiles.

This paper presents an approach for applying requester-specific filters to cloud-stored user profile data in WebID-based distributed social networks. Our approach aims at enabling profile owners to protect sensitive user data within their profiles in a fine-grained manner. We demonstrate our solution by integrating the approach into a WebID identity provider and profile management platform.

Keywords

Security Privacy Trust Identity Social Web Semantic Web 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Stefan Wild
    • 1
  • Olexiy Chudnovskyy
    • 1
  • Sebastian Heil
    • 1
  • Martin Gaedke
    • 1
  1. 1.Technische Universität ChemnitzGermany

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