资源受限无线传感器网络的入侵检测研究

Resource Constraints of Wireless Sensor Network Intrusion Detection Research

对资源受限无线传感器网络的入侵进行准确检测,是为了保证应用的安全性。资源受限传感网络由于不是所有节点全部参与通信,节点资源存在较大的约束,节点分布具有明显的不均衡性,节点能量消耗存在波动。传统的入侵检测方法无法根据能量变化的特征,对入侵进行识别,只能选取少量较为均衡的资源特征进行对比识别,降低入侵检测的准确率。为此提出基于资源均衡的无线传感器网络的入侵检测方法。根据剩余的能量的大小将传感器节点赋予不同的功能,包括sink节点、簇首节点、监视节点、首节点、叶子节点。为了降低能量的消耗,CH、SM、SH这几种节点的功能可进行动态转换,并将簇内的传感器节点划分为数个段。并在相关节点中部署检测器进行入侵检测。仿真结果表明,改进算法能够提高无线传感器网络入侵检测的准确率,并缩短了检测时间。

The accurate intrusion detection in wireless sensor network with limited resources is to ensure the secu- rity of the application. Because not all nodes are involved in the communication, the node resources of the sensor network with limited resources has a large constraint. Node distribution is not balanced, and the energy consumption of nodes fluctuates. The traditional intrusion detection methods cannot identify the intrusion according to the characteristics of energy change, and can only choose a small amount of more balanced resource characteristics to identify and reduce the accuracy of intrusion detection. For this problem, an intrusion detection method for wireless sensor net- work based on resource balanced is proposed. According to the diferent residual energy, the sensor nodes will be giv- en different functions, including sink node, cluster head node, monitoring node, the first node and leaf node. In order to reduce the consumption of energy, the functions of the CH, SM and SH nodes can be dynamically converted, and the sensor nodes in the cluster can be divided into several segments. And the detector is deployed in the related nodes for intrusion detection. The simulation results show that the improved algorithm can increase the accuracy of intrusion detection in wireless sensor network, and shorten the detection time.