【摘要】：精確預(yù)測(cè)網(wǎng)絡(luò)安全態(tài)勢(shì),對(duì)分析網(wǎng)絡(luò)安全態(tài)勢(shì)和趨勢(shì)、調(diào)整安全策略具有重要意義。針對(duì)復(fù)雜網(wǎng)絡(luò)系統(tǒng)規(guī)模變化,建立了層次化網(wǎng)絡(luò)安全態(tài)勢(shì)評(píng)估模型;在分析小波神經(jīng)網(wǎng)絡(luò)(WNN)基本原理及優(yōu)缺點(diǎn)的基礎(chǔ)上,將具有尋優(yōu)能力強(qiáng)、收斂速度快的自適應(yīng)局部增強(qiáng)微分進(jìn)化算法(ADMPDE)與WNN算法相結(jié)合,提出了基于ADMPDE-WNN的態(tài)勢(shì)預(yù)測(cè)方法。通過(guò)仿真實(shí)驗(yàn)分析,ADMPDE-WNN算法大大減小了訓(xùn)練誤差和預(yù)測(cè)誤差,提高了網(wǎng)絡(luò)安全態(tài)勢(shì)預(yù)測(cè)精度�；贏DMPDE-WNN的網(wǎng)絡(luò)安全態(tài)勢(shì)預(yù)測(cè)是一種科學(xué)、合理的預(yù)測(cè)方法,具有一定的理論意義和應(yīng)用價(jià)值。
[Abstract]:It is of great significance to predict the network security situation accurately and to analyze the network security situation and trend and adjust the security policy. According to the scale change of complex network system, the hierarchical network security situation assessment model is established, based on the analysis of the basic principle, advantages and disadvantages of wavelet neural network (WNN), it will have a strong ability to find the best. An adaptive locally enhanced differential evolution algorithm (ADMPDE) with high convergence speed is combined with the WNN algorithm, and a situation prediction method based on ADMPDE-WNN is proposed. The simulation results show that the ADMPDE-WNN algorithm greatly reduces the training error and prediction error, and improves the precision of network security situation prediction. Network security situation prediction based on ADMPDE-WNN is a scientific and reasonable prediction method, which has certain theoretical significance and application value.
【作者單位】： 空軍工程大學(xué)防空反導(dǎo)學(xué)院;中國(guó)人民解放軍93942部隊(duì);寶雞石油機(jī)械有限責(zé)任公司;
【基金】：國(guó)家科技重點(diǎn)實(shí)驗(yàn)室基金項(xiàng)目(9140XXXXXX110)
【分類(lèi)號(hào)】：TP393.08

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本文編號(hào)：2246385