New network security model based on degree of dissatisfaction

This paper proposed a new security model based on the degree of dissatisfaction(DoD).The main function was to help users in network environment to select correctly the transaction object and to avoid malicious node.This paper defined the degree of dissatisfaction as the probability that a node belonged to the malicious node set.This model used the rough set and Bayesian learner to calculate the DoD of the nodes,and based on historical transaction records to calculate the local DoD(LDoD),based on feedbacks on recommendations to calculate the recommended DoD(RDoD),and divided nodes into trust nodes,strange nodes and malicious nodes.It calculated the credibility of feedbacks based on the information entropy,and used the credibility of feedbacks to integrate feedbacks.Compared with existing trust models,the experiment indicates that the model can obtain higher examination rate over malicious nodes,with the higher transaction success rate.