本文選題：最小二乘法　切入點(diǎn)：傳輸信道　出處：《計(jì)算機(jī)仿真》2017年04期

【摘要】：針對網(wǎng)絡(luò)危險(xiǎn)傳輸信道進(jìn)行準(zhǔn)確檢測,為了凈化網(wǎng)絡(luò)環(huán)境,確保網(wǎng)絡(luò)安全。依據(jù)網(wǎng)絡(luò)傳輸信道特征,建立傳輸信道發(fā)送時(shí)間的多項(xiàng)式模型,并計(jì)算模型的最優(yōu)加權(quán)系數(shù),是進(jìn)行危險(xiǎn)信號(hào)檢測的重要環(huán)節(jié),但傳統(tǒng)方法不能精準(zhǔn)獲取網(wǎng)絡(luò)傳輸信道特征,降低了網(wǎng)絡(luò)傳輸信道危險(xiǎn)信號(hào)檢測的精準(zhǔn)性。提出一種采用模型擬合和熵率的網(wǎng)絡(luò)傳輸信道危險(xiǎn)信號(hào)檢測方法,首先利用函數(shù)擬合的方法獲得傳輸信道發(fā)送時(shí)間的多項(xiàng)式模型,同時(shí)采用具有噪聲濾波功能的最小二乘法得到模型的最優(yōu)加權(quán)系數(shù),利用熵率度量CPU響應(yīng)時(shí)間的規(guī)律性來建立傳輸信道危險(xiǎn)信號(hào)檢測模型,實(shí)現(xiàn)網(wǎng)絡(luò)傳輸信道危險(xiǎn)信號(hào)的檢測。仿真結(jié)果表明,改進(jìn)方法能夠有效檢測出網(wǎng)絡(luò)傳輸信道的危險(xiǎn)信號(hào),具有較高的準(zhǔn)確率。
[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.
【作者單位】： 中州大學(xué)信息工程學(xué)院;
【分類號(hào)】：TP393.08
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本文編號(hào)：1710456