A Comprehensive Trust Model Based on Reputation and Fuzzy Theory

Abstract

In Ubiquitous Network, core problem is how heterogeneous terminals communicate credibly between each other. We will achieve communication and “Ubiquitous” between varieties of heterogeneous terminals only if more reliable interaction through heterogeneous terminals could be made. This paper puts present a Comprehensive Trust Model based on Reputation and Fuzzy subsystems (CFMBRF), indirect recommending trust calculation method of model adopts “an fuzzy based credibility evaluation method for indirect trust computation”, then on basis of model based on reputation, import fuzzy inference subsystems, it is able to handle subjective concept such as importance of a the decisions in uncertainty region and setting result of interaction , can humanistic make decision about uncertain problem. This paper simulates network having no-fuzzy subsystem and network which have fuzzy subsystem, makes comparison between two networks, tests overhead and stability of CFMBRF. It can be seen that network using fuzzy subsystem greatly increased validity of interaction, decreased number of query for reputation vector, and proved effectiveness of CFMBRF model.