CERIAS Security: Towards Effective and Efficient Behavior-based Trust Models 1/6

Clip 1/6 Speaker: Klemens Boehm · Professor of Computer Science · Karlsruhe University Trust models have been touted to facilitate cooperation among unknown entities. In our current work, we are interested in behavior-based trust models, i.e., models that derive the trustworthiness of an entity from its behavior in previous interactions. Existing proposals in this field typically feature one specific trust model. Further, various publications exist which have proposed different centrality measures to rank individuals, i.e., compute their reputation based on feedback, and have demonstrated their effectiveness in certain (rather specific) situations. This presentation in turn proposes a framework for behavior-based trust models for open environments with the following distinctive characteristic. Based on a relational representation of behavior-specific knowledge, we propose a trust-policy algebra allowing for the specification of a wide range of trust policies. Since the evaluation of the standing of an entity requires centrality indices, we propose a first-class operator of our algebra for their computation. The presentation concludes with an objective comparison of the effectiveness of the various centrality measures in reputation systems. For more information go to the Cerias website (http://bit.ly/dsFCBF)