Tuning Evidence-Based Trust Models

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Tuning Evidence-Based Trust Models
Abstract—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 gametheoretic 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.
Eugen Staab, Thomas Engel
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where CSE
Authors Eugen Staab, Thomas Engel
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