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Tuning Evidence-Based Trust Models

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2 Author(s)
Staab, E. ; Univ. of Luxembourg, Luxembourg City, Luxembourg ; Engel, T.

Many evidence-based trust models require the adjustment of parameters such as aging- or exploration-factors. What the literature often does not address is the systematic choice of these parameters. In our work, we propose a generic procedure for finding trust model parameters that maximize the expected utility to the trust model user. The procedure is based on game theoretic considerations and uses a genetic algorithm to cope with the vast number of possible attack strategies. To demonstrate the feasibility of the approach, we apply our procedure to a concrete trust model and optimize the parameters of this model.

Published in:

Computational Science and Engineering, 2009. CSE '09. International Conference on  (Volume:3 )

Date of Conference:

29-31 Aug. 2009