Web User Behavior Trust Evaluation Model Based on Fuzzy Petri Net

In a trusted network, due to the randomness and complexity of user behavior, it is difficult to effectively conduct a reasonable trust assessment of users in the network. This paper combines the analytic hierarchy process and fuzzy Petri net theory, and proposes a user behavior trust evaluation based on fuzzy Petri net. The method consists of two stages. Firstly, the problem of individual user's trust evaluation is reduced to a measurable user behavior evidence evaluation problem through the analytic hierarchy process, and then combined; then, the fuzzy Petri net is used for reasoning to obtain the user Trust value, therefore, this method is a comprehensive qualitative and quantitative safety assessment method. Finally, an example analysis shows that the user behavior trust evaluation method based on fuzzy Petri nets proposed in this paper is scientific and accurate. Therefore, this method provides new research ideas and references for user behavior trust evaluation.