网络拓扑变权重信任度云模型定量评估仿真

Quantitative Evaluation and Simulation of Trust Cloud Model Based on Net Topology and Variable Weight

针对复杂网络环境不同网络交易的特点,提出了采用变权重云模型网络拓扑理论对网上交易信任度及信任度变化量化评估方法。首先构建了基于云模型的信任度评估模型的总体结构,研究标准信任云生成器网络拓扑算法,通过调整网络拓扑权重向量,提出使用标准信任云生成器系统迭代的信息相似度为定量评估参数,设置信任云信息点的响应的频率计数器从而有效降低迭代算法的运算成本,构建标准信任云逆向生成器对网上交易信息进行完整逆向跟踪评价体系。结合淘宝网真实数据进行实验仿真,仿真结果表明该算法能更真实定量地反映商家信任度,有效降低复杂虚拟的网络交易所带来的交易风险,一定程度上完善了信任度评估机制。

The cloud model with variable weight based on net topology was proposed for the quantitative evaluation of thetrust level and the trust change. The overall structure of the trust evaluation model was established based on the cloud model. The net topology algorithm of standard cloud producer was researched, the weight was adjusted adaptively for the net topology, the information similarity was taken as the evaluation parameter, the computing cost was reduced by setting the frequency response counter. The standard trust reverse producer was proposed for the evaluation of the business informationin reverse tracking. Simulation was taken based on the real data from Taobao internet. Simulation result shows that the algorithm can reflect the trust level quantitatively and effectively, the exchange risk is reduced in the electronic commerce, thetrust evaluation mechanism is improved to a certain degree.