摘要
针对传统方法数据融合精度不高、簇头节点输送数据时能耗较高的问题,为了提升数据融合的安全性,提出基于节点信誉度的传感器数据安全融合方法。对参加安全数据融合的传感器节点进行信任计算,利用传感器一致性方差获得节点行为信任可靠属性值,构建节点行为信任模型,并使用Josang信任模型处理数据流中的不确定因素问题,对融合节点进行信誉度分组,对安全数据实施评估,在统计规律结果的基础上分析节点可信任水平,实现对传感器数据的安全融合。仿真结果证明,所提方法可以保证数据融合结果的可靠性,有效节省传感器能量消耗,为融合过程中数据安全问题提供可靠的理论基础。
Traditional fusion methods have low fusion accuracy and long cluster head node transport energy consumption. Therefore, this paper proposes a sensor data security fusion method based on node reputation. Firstly, the sensor nodes with secure data fusion were trusted. Secondly, the sensor consistency variance was applied to obtain the trust and reliability attribute value of node behavior. Then, the node behavior trust model was established, and Josang trust model was introduced to deal with the uncertain factors in the data flow, grouping the reputation of fusion nodes to evaluate the security data. Finally, according to the results of statistical laws, the node’s trustworthiness level was analyzed to achieve the security of sensor data fusion. The results show that the method has reliable data fusion results and the reducing energy consumption of the sensor.
作者
曾丽
曾玉林
ZENG Li;ZENG Yu-lin(Jincheng College of Sichuan University,Chengdu Sichuan 611731,China)
出处
《计算机仿真》
北大核心
2021年第7期290-293,共4页
Computer Simulation
