Abstract:To investigate and evaluate the identity or behavior of the node in an open network environment, the establishment of trust model is an effective means to ensure the security of the interactive process. Besides, the weight setting of the decision attributes is the basis of the trust quantification and evaluation. In this paper, a trust evaluation model based on entropy weight method in trusted network is proposed to satisfy with the requirement of the dynamic changes in the open environment. During the process of aggregation of multi-dimensional decision attributes, the information entropy theory is employed to establish the classification weight of the decision-making attributes, which can avoid the subjective judgment and ensure the effectiveness and objectivity of recommendation trust evaluation. Simulation experiments show that compared with several typical models, the proposed model has more robust dynamic adaptability and has significant advantages in security.