A Trust Model with Statistical Foundation

  • Jianqiang Shi
  • Gregor v. Bochmann
  • Carlisle Adams
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 173)


The widespread use of the Internet signals the need for a better understanding of trust as a basis for secure on-line interaction. In the face of increasing uncertainty and risk, users and machines must be allowed to reason effectively about the trustworthiness of other entities. In this paper, we propose a trust model that assists users and machines with decision-making in online interactions by using past behavior as a predictor of likely future behavior. We develop a general method to automatically compute trust based on self-experience and the recommendations of others. Furthermore, we apply our trust model to several utility models to increase the accuracy of decision-making in different contexts of Web Services.

Key words

trust utility decision making 

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Copyright information

© International Federation for Information Processing 2005

Authors and Affiliations

  • Jianqiang Shi
    • 1
  • Gregor v. Bochmann
    • 2
  • Carlisle Adams
    • 2
  1. 1.Systems ScienceUniversity of OttawaOttawaCanada
  2. 2.School of Information Technology and Engineering (SITE)University of OttawaOttawaCanada

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