网络被入侵后的信号检测系统设计与优化

Design and optimization of signal detection system after network intrusion

针对当前对网络入侵异常检测精度不高的问题,进行网络被入侵后的异常信号检测系统优化设计,提出基于高阶时频谱分析的网络入侵异常信号检测算法,首先对信号检测算法进行改进设计,构建网络入侵信号模型,对入侵后的网络异常信号做非平稳信号经验模态分解和高阶时频谱特征提取;然后进行信号检测系统的开发;最后通过仿真实验进行性能测试。仿真结果表明,采用该信号检测系统能准确检测网络被入侵后的异常信号,且准确检测概率高于传统方法。

Since the accuracy of the current network intrusion anomaly detection is low,the optimization design for the ab?normal signal detection system after network intrusion was performed,and the network intrusion abnormal signal detection algo?rithm based on higher?order time?spectrum analysis is proposed. The improvement design for the signal detection algorithm was conducted,and the network intrusion signal model was constructed to decompose the non?stationary signal empirical mode and extract the higher?order time?spectrum feature of the network anomaly signal after network intrusion. The signal detection system was developed,and its performance was test with simulation experiment. The simulation results show that the signal detection system can accurately detect the abnormal signal after network intrusion,and its accurate detection probability is higher than that of the traditional method.