Analyzing the robustness of CertainTrust

  • Ries S
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Abstract

Trust in ubiquitous computing is about finding trustworthy partners
for risky interactions in presence of uncertainty about identity,
motivation, and goals of the potential interactions partners. In
this paper, we present new approaches for estimating the trustworthiness
of entities and for filtering and weighting recommendations, which
we integrate in our trust model, called CertainTrust. We evaluate
the robustness of our trust model using an canonical set of population
mixes based on a classification of typical entity behaviors. The
simulation is based on user traces collected in the Reality Mining
project. The evaluation shows the applicability of our trust model
to collaboration in opportunistic networks and its advantages in
comparison to a distributed variant of the Beta Reputation System.

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Authors

  • Sebastian Ries

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