本文關(guān)鍵詞：基于神經(jīng)網(wǎng)絡(luò)的網(wǎng)絡(luò)安全態(tài)勢(shì)感知，由筆耕文化傳播整理發(fā)布。

基于神經(jīng)網(wǎng)絡(luò)的網(wǎng)絡(luò)安全態(tài)勢(shì)感知研究 謝麗霞 王亞超 于巾博 中國(guó)民航大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院。天津300300 摘要：針對(duì)網(wǎng)絡(luò)安全態(tài)勢(shì)感知問題，本文在對(duì)多種已有態(tài)勢(shì)感知方法比較和 分析，在此基礎(chǔ)上提出了一種基于神經(jīng)網(wǎng)絡(luò)的網(wǎng)絡(luò)安全態(tài)勢(shì)感知方法。首 先，，設(shè)計(jì)了一種基于BP神經(jīng)網(wǎng)絡(luò)的網(wǎng)絡(luò)安全態(tài)勢(shì)評(píng)估方法。然后，為了解 決態(tài)勢(shì)要素與評(píng)估結(jié)果之間的不確定性及模糊性問題，提出了一種基于 RBF神經(jīng)網(wǎng)絡(luò)的網(wǎng)絡(luò)安全態(tài)勢(shì)預(yù)測(cè)方法，利用RBF神經(jīng)網(wǎng)絡(luò)找出網(wǎng)絡(luò)態(tài)勢(shì) 值的非線性映射關(guān)系，采用自適應(yīng)遺傳算法對(duì)網(wǎng)絡(luò)參數(shù)進(jìn)行優(yōu)化并感知網(wǎng) 絡(luò)安全態(tài)勢(shì)。通過真實(shí)網(wǎng)絡(luò)環(huán)境的實(shí)驗(yàn)驗(yàn)證了本文提出方法在網(wǎng)絡(luò)安全態(tài) 勢(shì)感知中的可行性和有效性。 關(guān)鍵詞：態(tài)勢(shì)感知；評(píng)估；預(yù)測(cè)；神經(jīng)網(wǎng)絡(luò) 中圖分類號(hào)：TP309，TP393．08 ResearchonNetwork SituationAwareness Security basedonNeuralNetwork XfELixiaWANGYachaoYU Jinbo of Scienceand Aviation of 300300 School University Computer Technology，Civil China，Tianjin atthe of situationawarenessabout network security networks，a Abstract：Aimingproblems situationawarenessmethodbasedonneuralnetworkis BPneural security proposed．Firstly，fl networkbasedmethodtoestimatethe situationassessmentofnetworkwas security designed． Tosolvethe of andfuzzinessbetweenthesituationfactorandtheevaluation problemuncertainty result，anetwork situationforecastmethodthatcanfindOutnon-linearrelation― security mapping networksituationalvalueswas basedonRBFneural of shipamong given network，parameters thenetworkcanbe andthenetwork situa― optimizedthroughadaptivegeneticalgorithm security tionawarenessWaSobtained．An witharealnetworkenvironmentwas experiment performed， andthe results the andeffectivenessofourmethodforthenetwork experimentalprovefeasibility situationawareness． securit

  本文關(guān)鍵詞：基于神經(jīng)網(wǎng)絡(luò)的網(wǎng)絡(luò)安全態(tài)勢(shì)感知，由筆耕文化傳播整理發(fā)布。