A Semantic and Time Related Recommendation-Feedback Trust Model

Abstract

Decentralized networks have gained widespread attentions recently. Trust management is a new method fit for the characteristics of the decentralized networks. This paper proposes a recommendation-feedback trust model which is based on the semantic similarities of the roles and is time related. In this model, we propose an algorithm which could collect as much information as possible in a given time, and access control decisions could be made with the information. Recommenders' reputation is updated according to the correctness of the recommendation. Semantic and time are used to process the information