The paper proposed a trust model based on mathematical statistic method to enhance the safety of a VANET. By applying the statistical principles such as significance test, hypothesis test and confidence interval, the model can help the reputation management center to calculate trust values of all vehicle nodes, can help vehicle nodes to judge whether an event message can be trust or not. The simulation experiment results show that the model can effectively identify false event messages, improve the accuracy of data and enhance the information security of a VANET.

中文翻译：

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一种基于统计方法的VANET事件信任模型

提出了一种基于数学统计方法的信任模型，以提高VANET的安全性。通过应用显着性检验，假设检验和置信区间等统计原理，该模型可以帮助信誉管理中心计算所有车辆节点的信任值，可以帮助车辆节点判断事件消息是否可以信任。仿真实验结果表明，该模型可以有效识别虚假事件消息，提高数据准确性，增强VAN​​ET的信息安全性。