中文摘要：

针对无线传感器网络信誉评测机制不全面，可能造成误判节点信誉值的行为，设计一种基于灰色马尔可夫模型的信誉评测模型，并针对该模型设计一种查询路由协议，解决路由协议中存在选择性转发攻击的问题。基于灰色马尔可夫信誉评测模型是通过改进BRSN模型，综合考虑节点通信行为和评价行为的直接信誉、间接信誉、历史信誉以及能量信誉，使用灰色马尔可夫模型对节点的当前信誉与历史信誉进行纵向分析，提高信誉评测模型的精确度。此外，将该模型的节点综合信誉应用于路由选择，设计一种能量高效的查询路由协议，从而提高查询路由协议的安全性。实验表明，该信誉评测模型的节点信誉分布情况符合节点类型，且误判率较低；该查询路由协议的路由安全性较高，能耗性较低，因此无线传感器网络安全路由协议的整体性能都得到了提高。

英文摘要：

For reputation evaluation mechanisms of WSNs was not comprehensive, it may cause the miscarriage justice behavior of the node reputation value, therefore this paper designed a reputation eva-luation model based on gray Markov model and a query routing protocol designed for this model to solve the routing protocol of selective forwarding attack. The reputation evaluation model based on gray Markov improved BRSN model, and comprehensively considerated direct reputation, indirect reputation, history reputation of the node communication behavior and evaluation behavior and energy reputation, and then used gray Markov model to vertically analyze the node＇s current reputation and historical reputation to improve the accuracy of reputation evaluation model. In addition, it used the node comprehensive reputation of the model in routing to design an energy efficient query routing protocol to improve the security of the query routing protocol. The experiments show that node reputation distribution of the reputation evaluation model is in line with node-type, and have low rate of false positives; the query routing protocol have higher security, lower energy consumption, so the overall performance of the WSNs secure routing protocol are improved.