网络传输信道危险信号检测方法研究仿真

发布时间：2018-04-04 15:00

  本文选题：最小二乘法　切入点：传输信道　出处：《计算机仿真》2017年04期

【摘要】：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。
[Abstract]:In order to purify the network environment and ensure the network security, the network dangerous transmission channel is detected accurately.According to the characteristics of network transmission channel, the polynomial model of transmission channel time is established, and the optimal weighting coefficient of the model is calculated, which is an important part of dangerous signal detection, but the traditional method can not accurately obtain the network transmission channel characteristics.The accuracy of dangerous signal detection in network transmission channel is reduced.In this paper, a method of network transmission channel dangerous signal detection based on model fitting and entropy rate is proposed. Firstly, a polynomial model of transmission channel transmission time is obtained by using function fitting method.At the same time, the least square method with the function of noise filtering is used to get the optimal weighting coefficient of the model, and the entropy rate is used to measure the regularity of the response time of the CPU to establish the detection model of the dangerous signal in the transmission channel to realize the detection of the dangerous signal in the network transmission channel.The simulation results show that the improved method can detect the dangerous signal of the network transmission channel effectively and has a high accuracy.
【作者单位】： 中州大学信息工程学院;
【分类号】：TP393.08
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本文编号：1710456