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A Taxonomy to Express Open Challenges in Trust and Reputation Systems

Mozhgan Tavakolifard1 and Kevin C. Almeroth2
1. Centre for Quantifiable Quality of Service in Communication Systems, Norwegian University of Science and Technology
2. Department of Computer Science, University of California Santa Barbara, CA 93106-5110

Abstract— During the past decade, online trust and reputation systems have provided cogent answers to emerging challenges in the global computing infrastructures relating to computer and network security, electronic commerce, virtual enterprises, social networks and cloud computing. The goal of these systems in such global computing infrastructures is to allow entities to reason about the trustworthiness of other entities and to make autonomous decisions on the basis of trust. This requires the development of computational trust models that enable entities to reason about trust and to verify the properties of a particular interaction. The robustness of these mechanisms is one of the critical factors required for the success of this technology. In this paper, we briefly present characteristics of existing online trust and reputation models and systems through a multidimensional framework that can serve as a basis to understand the current state of the art in the area. The critical open challenges that limit the effectiveness of today’s trust and reputation systems are discussed by providing a comprehensive literature review. Furthermore, we present a set of our contributions as a way to address some of these challenges.

Index Terms— Challenges, Context, Reputation systems, Taxon¬omy, Trust.

Cite:Mozhgan Tavakolifard and  Kevin C. Almeroth , "A Taxonomy to Express Open Challenges in Trust and Reputation Systems," Journal of Communications, vol. 7, no.7, pp.538-551, 2012. Doi: 10.4304/jcm.7.7.538-551


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