Parties of reputation systems rate each other and use ratings to compute reputation scores that drive their interactions. When deciding which reputation model to deploy in a network environment, it is important to find the most suitable model and to determine its right initial configuration. This calls for an engineering approach for describing, implementing and evaluating reputation systems while taking into account specific aspects of both the reputation systems and the networked environment where they will run. We present a software tool (NEVER) for network-aware evaluation of reputation systems and their rapid prototyping through experiments performed according to user-specified parameters.

Network-Aware Evaluation Environment for Reputation Systems / C. Fernández-Gago, F. Martinelli, S. Pearson, I. Agudo (Eds.); A. Celestini; R. De Nicola; F. Tiezzi. - STAMPA. - (2013), pp. 231-238. [10.1007/978-3-642-38323-6_17]

Network-Aware Evaluation Environment for Reputation Systems

F. Tiezzi
2013

Abstract

Parties of reputation systems rate each other and use ratings to compute reputation scores that drive their interactions. When deciding which reputation model to deploy in a network environment, it is important to find the most suitable model and to determine its right initial configuration. This calls for an engineering approach for describing, implementing and evaluating reputation systems while taking into account specific aspects of both the reputation systems and the networked environment where they will run. We present a software tool (NEVER) for network-aware evaluation of reputation systems and their rapid prototyping through experiments performed according to user-specified parameters.
2013
9783642383229
Trust Management VII, 7th IFIP WG 11.11 International Conference, IFIPTM 2013, Malaga, Spain, June 3-7, 2013. Proceedings
231
238
C. Fernández-Gago, F. Martinelli, S. Pearson, I. Agudo (Eds.); A. Celestini; R. De Nicola; F. Tiezzi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1243580
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