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PROJECT TITLE :

A Robust Reputation-Based Computational Model for Trust Establishment in Pervasive Systems

ABSTRACT:

Distributed systems engineered in open competitive and highly dynamic pervasive environments are composed of autonomous entities that act and interact in an intelligent and versatile manner thus as to attain their own goals and aims. System entities may be classified into two main categories that are, in principle, in conflict. These are the service resource requestors (SRRs) wishing to use services and/or exploit resources offered by the other system entities and the service resource providers (SRPs) that provide the services/resources requested. Seeking for the maximization of their welfare, entities may misbehave, so leading to a vital deterioration of system's performance. The scope of this paper is to gift a computational model for trust institution primarily based on a reputation mechanism, that incorporates direct SRRs' experiences and information disseminated from witness SRRs on the idea of their past experiences with SRPs. The designed mechanism discriminates between unfair feedback ratings intentionally and unintentionally provided, takes into thought potential changes to suppliers' behavior, and weighs additional recent events in the analysis of the reputation ratings. The proposed model has been extensively evaluated through simulation experiments. It exhibits sensible performance, as the reputation computation error introduced thanks to false feedback provision decreases considerably.


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