Trust Quantitative Model of Service Requester in Trustworthy Network

In order to improve the adaptability of traditional trust models, a dynamic trust quantitative model based on information entropy is proposed in this paper, it includes three functions, namely direct trust function, risk function, reward and penalty function. Then service requesters are divided into different grades according to their trust degree. Different grades have different service concepts. Meanwhile, the risk states of requester's behaviors are divided into five types according to the risk degree. In order to evade risks, the risk states are always prompted for service requesters. And then the weight is set up by information entropy theory for these decision factors, which overcomes the shortage of traditional method, in which the weight is set up by subjective manners, and makes the model has a better rationality and a higher practicability.