A Learning Model for Trustworthiness of Context-Awareness Services

  • Authors:
  • Markus C. Huebscher;Julie A. McCann

  • Affiliations:
  • Imperial College London;Imperial College London

  • Venue:
  • PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
  • Year:
  • 2005

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Abstract

When ubiquitous computing devices access a context-awareness service, such as a location service, they need some assurance that the quality of the information received is trustworthy. However, the trustworthiness of a service cannot be determined by the service itself, but must be decided externally to the service. Furthermore, the trustworthiness of a service provider may be dynamic, depending on current environmental conditions. We propose a learning model that uses binarypositive/negative feedback from service consumers and cross-validation with other service providers to adjust the dynamic trustworthiness of a service provider.