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Context Obfuscation for Privacy via Ontological Descriptions

  • Ryan Wishart
  • Karen Henricksen
  • Jadwiga Indulska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3479)

Abstract

Context information is used by pervasive networking and context-aware programs to adapt intelligently to different environments and user tasks. As the context information is potentially sensitive, it is often necessary to provide privacy protection mechanisms for users. These mechanisms are intended to prevent breaches of user privacy through unauthorised context disclosure. To be effective, such mechanisms should not only support user specified context disclosure rules, but also the disclosure of context at different granularities. In this paper we describe a new obfuscation mechanism that can adjust the granularity of different types of context information to meet disclosure requirements stated by the owner of the context information. These requirements are specified using a preference model we developed previously and have since extended to provide granularity control. The obfuscation process is supported by our novel use of ontological descriptions that capture the granularity relationship between instances of an object type.

Keywords

Context Information Object Type Granularity Level Pervasive Computing User Privacy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ryan Wishart
    • 1
  • Karen Henricksen
    • 2
  • Jadwiga Indulska
    • 1
  1. 1.School of Information Technology and Electrical EngineeringThe University of Queensland 
  2. 2.CRC for Enterprise Distributed Systems Technology 

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