自组织远距离无线通信网络易受攻击节点检测算法

Self-organizing Long-distance Wireless Communication Network Vulnerable Node Detection Algorithm

为了提高无线通信网络的安全性,需要对自组织远距离无线通信网络中存在的易受攻击节点进行检测。采用当前检测算法对自组织远距离无线通信网络中的易受攻击节点进行检测时,不能准确的得到节点在无线通信网络中的状态值,检测所用的时间较长,存在检测结果准确率低和检测效率低的问题。提出一种自组织远距离无线通信网络易受攻击节点检测算法,在空间相似性原理的基础上,对比无线通信网络中节点之间的测量值,根据比较结果计算节点的状态值,以节点状态值为依据采用基于随机游走的故障节点检测算法确定易受攻击节点在自组织远距离无线通信网络中的位置,完成自组织远距离无线通信网络易受攻击节点的检测。实验结果表明,所提方法的检测结果准确率高、检测效率高。

In order to improve the security of the wireless communication network,it is necessary to detect vulnerable nodes existing in the self-organizing long-distance wireless communication network. When the current detection algorithm is used to detect vulnerable nodes in a self-organizing long-distance wireless communication network,the state value of the node in the wireless communication network cannot be accurately obtained,and the time taken for the detection is long,and the accuracy of the detection result is low. A self-organizing long-distance wireless communication network vulnerable node detection algorithm is proposed. Based on the principle of spatial similarity,the measured values between nodes in the wireless communication network are compared,and the state value of the node is calculated according to the comparison result. The value is based on the random node-based fault node detection algorithm to determine the location of the vulnerable node in the self-organizing long-distance wireless communication network,and complete the detection of the vulnerable node of the self-organizing long-distance wireless communication network. The experimental results show that the detection results of the proposed method are high in accuracy and high in detection efficiency.