基于信誉与合作的信任评价模型研究

现有的一些信任评价模型采用线性加权的手段进行信任测度，可能出现一个维度指标信息很高而另一个维度指标信息较低的情况，于是存在信息的淹没，严重影响了模型计算节点信任评价的准确性和有效性。针对现有模型存在的不足，提出了一种基于二维度的相互信任矩阵评价模型。该模型依据所给出的信誉与合作评价指标的特点，分别采用二元语义信息处理和数据测度方法对节点的信誉与合作进行评价，从而得出信任评价模型。仿真实验结果分析表明，与线性加权模型相比，该模型能够更有效地抑制恶意节点的影响，提高节点任务执行的成功率。

Research of Trust Evaluation Model Based on Reputation and Cooperation

Because some of the existing trust evaluation model uses the method of linear weighted sum to measure the trust, it may appear a dimension index information is very high, while the other dimension index information is relatively low, thus there is no comprehensive information for computing the trust, and it makes serious impacts on the accuracy and effectiveness of the model to compute the trust evaluation for nodes. For the shorting of the model, the paper proposed a mutual trust matrix evaluation model based on reputation and cooperation. We evaluated the reputation of the nodes by adopting two-tuplc linguistic information and evaluated the cooperation of the nodes by adopting date measurement,thus we concluded the mutual trust evaluation of the nodes. At last,the paper compared the model with the mode of linear weighted by analysis of simulation experiment, it appears that the proposed model can suppress the malice node's attacking and improve the efficiency for executing a plan of the nodes.