可信网络中基于熵权法的信任评估模型

在开放式网络环境下，建立信任模型对节点身份或行为进行考察和评估是保证交互过程安全的有效手段，决策属性的权重设置是信任量化和评估的基础.为了使量化模型贴近开放环境动态变化的客观要求，本文提出了基于熵权法的信任评估模型.在多维决策属性的融合计算过程中，利用信息熵理论确立各决策属性的分类权重， 避免主观判断方法在权重设定上适应性不强的问题，保证推荐信任评估决策的有效性和客观性.仿真实验表明，与同类典型的几种模型相比，本文提出的模型具有更稳健的动态适应性特点，并且在安全性方面也具有显著优势.

Trust evaluation model based on entropy weight method in trusted network

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.