网络传输信道危险信号检测方法研究仿真

摘要

In this paper,we propose a detection method for danger signal of network transmission channel based on model fitting and entropy rate.Firstly,the method of function fitting was used to obtain multinomial model of transmission time of transmission channel.In the meantime,using least square method with noise filtering function,optimal weighting coefficients of model were obtained.Using the entropy rate,regularity of response time of CPU was measured to build detection model of danger signal.Finally,the detection was completed.Simulation results show that the modified method can detect the danger signal effectively.It has high accuracy.%针对网络危险传输信道进行准确检测,为了净化网络环境,确保网络安全.依据网络传输信道特征,建立传输信道发送时间的多项式模型,并计算模型的最优加权系数,是进行危险信号检测的重要环节,但传统方法不能精准获取网络传输信道特征,降低了网络传输信道危险信号检测的精准性.提出一种采用模型拟合和熵率的网络传输信道危险信号检测方法,首先利用函数拟合的方法获得传输信道发送时间的多项式模型,同时采用具有噪声滤波功能的最小二乘法得到模型的最优加权系数,利用熵率度量CPU响应时间的规律性来建立传输信道危险信号检测模型,实现网络传输信道危险信号的检测.仿真结果表明,改进方法能够有效检测出网络传输信道的危险信号,具有较高的准确率.