Research on Trusted Evaluation Method of User Behavior Based on AHP Algorithm

The research of trustworthiness measurement of user behavior is the hotpot in the network security. According to the existing problems of the user behavior trust evaluation method in the subjective weight and dynamic adaptability, in this paper, the calculation method of indirect credibility has been improved, and combined with the previously proposed user behavior evaluation method based on Analytic Hierarchy Process, the method of user behavior evaluation is more effectively and accurately. In this method, user behavior activity and reward and punishment factor, and the improved calculation method of indirect credibility are combined to evaluate the user's behavior, and the feasibility of the method is demonstrated by an example. The results show that the proposed method can adapt to the dynamic changes of user behavior trust, and can accurately evaluate the credibility of user behaviors.