现代电子技术
現代電子技術
현대전자기술
Modern Electronics Technique
2015年
21期
92-95
,共4页
网络安全等级%财务评价%Hopfield神经网络%入侵检测
網絡安全等級%財務評價%Hopfield神經網絡%入侵檢測
망락안전등급%재무평개%Hopfield신경망락%입침검측
network security grade%financial evaluation%Hopfield neural network%intrusion detection
主要结合我国计算机网络的相关特点,选择入侵检测技术等10个可以表征网络安全的特征指标,构建用于网络安全评级的离散型Hopfield神经网络模型.从仿真结果来看,建立的神经网络模型可以很好地对计算机网络的安全等级进行分类,大大提高了对网络安全状况评价和判断的效率,对相关研究有一定的借鉴作用.
主要結閤我國計算機網絡的相關特點,選擇入侵檢測技術等10箇可以錶徵網絡安全的特徵指標,構建用于網絡安全評級的離散型Hopfield神經網絡模型.從倣真結果來看,建立的神經網絡模型可以很好地對計算機網絡的安全等級進行分類,大大提高瞭對網絡安全狀況評價和判斷的效率,對相關研究有一定的藉鑒作用.
주요결합아국계산궤망락적상관특점,선택입침검측기술등10개가이표정망락안전적특정지표,구건용우망락안전평급적리산형Hopfield신경망락모형.종방진결과래간,건립적신경망락모형가이흔호지대계산궤망락적안전등급진행분류,대대제고료대망락안전상황평개화판단적효솔,대상관연구유일정적차감작용.
Combining with the related characteristics of the computer network,10 characteristic indexes including the intru-sion detection technology which can represent the network security were selected,and the discrete Hopfield neural network model applied to network security grading was constructed. The simulation results show that the established neural network model can classify the security grade for the computer network greatly,and improve the evaluation and judgment efficiency to the network security situation,and has certain reference function for the related research.
