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基于神經(jīng)網(wǎng)絡網(wǎng)絡安全態(tài)勢感知及研究.pdf全文

發(fā)布時間:2016-10-23 16:00

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


基于神經(jīng)網(wǎng)絡的網(wǎng)絡安全態(tài)勢感知研究 謝麗霞 王亞超 于巾博 中國民航大學計算機科學與技術(shù)學院。天津300300 摘要:針對網(wǎng)絡安全態(tài)勢感知問題,本文在對多種已有態(tài)勢感知方法比較和 分析,在此基礎(chǔ)上提出了一種基于神經(jīng)網(wǎng)絡的網(wǎng)絡安全態(tài)勢感知方法。首 先,,設計了一種基于BP神經(jīng)網(wǎng)絡的網(wǎng)絡安全態(tài)勢評估方法。然后,為了解 決態(tài)勢要素與評估結(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)絡的網(wǎng)絡安全態(tài)勢預測方法,利用RBF神經(jīng)網(wǎng)絡找出網(wǎng)絡態(tài)勢 值的非線性映射關(guān)系,采用自適應遺傳算法對網(wǎng)絡參數(shù)進行優(yōu)化并感知網(wǎng) 絡安全態(tài)勢。通過真實網(wǎng)絡環(huán)境的實驗驗證了本文提出方法在網(wǎng)絡安全態(tài) 勢感知中的可行性和有效性。 關(guān)鍵詞:態(tài)勢感知;評估;預測;神經(jīng)網(wǎng)絡 中圖分類號: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)絡的網(wǎng)絡安全態(tài)勢感知,由筆耕文化傳播整理發(fā)布。



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