光纤网络入侵后的节点倒追定位技术研究

Research on node retrograde positioning technology of fiber network after invasion

针对采用传统的能量检测方法进行光纤网络入侵后节点定位精度不高和开销过大的问题,提出一种基于自适应波束形成的光纤网络入侵后节点倒追定位技术。首先构建网络入侵节点收发数据的通信信号波束模型,采用自适应滤波器进行入侵信号的干扰滤波处理。然后采用自适应波束形成方法进行光纤网络节点的通信信号异常特征检测,提取入侵节点的Hilbert边际谱特征,根据入侵节点与正常节点的特征差异性进行节点倒追定位,实现入侵节点准确检测定位。最后进行实验分析,仿真结果表明,采用该方法进行入侵节点定位的准确度较高,收敛误差较低,提高了光纤网络的安全可靠性。

For the low precision and high cost of traditional energy detection method after optical fiber network intrusion, this paper put forward the node retrograde positioning technology formed based on adaptive beam. Firstly, the communication signal beam model of sending and receiving data in invasion nodes is constructed, and adaptive filter is used to filter the interference of the intrusion signal. Then detect the abnormal characteristics of communication signal through formation method of adaptive beam. Extract the Hilbert marginal spectrum characteristics of invasion, do the retrograde positioning of the nodes according to characteristics differences of invasion nodes and normal nodes to realize precise intrusion nodes detection. Finally, the simulation results show that the method has high accuracy and low con- vergence error, and improves the security and reliability of optical network.