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中文摘要：
车联网具有信息安全敏感的需求,面临节点数据被伪造或篡改等多种信息安全威胁,为保障数据融合结果的真实性与可靠性,引入直接信任和间接信任的概念,通过统计方法计算节点的信任度,建立一种基于节点信任度评价的安全数据融合模型。在数据融合过程中将低信任度的节点摒弃,避免影响融合的结果。仿真实验结果表明了该信任模型的有效性,数据融合结果的准确性和可靠性得到提高。
英文摘要：
The Internet of vehicles is usually sensitive to the information security and it is easily threatened by fabricating or tampering data.To guarantee the authenticity and reliability of the result in data fusion,the concepts of direct trust and indirect trust were introduced,and a new trusted model based on credibility evaluation of nodes was proposed.In this model,the credibility of nodes was computed by statistical methods.Low credibility nodes were abandoned according to this model to avoid their effects on data fusion.The simulation experiments approve that the model is effective and it proves the reliability of data fusion.
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