计算机与现代化
計算機與現代化
계산궤여현대화
COMPUTER AND MODERNIZATION
2013年
11期
85-87,90
,共4页
因素神经网络%入侵检测%网络安全
因素神經網絡%入侵檢測%網絡安全
인소신경망락%입침검측%망락안전
factor neural networks%intrusion detection%network security
通过对网络攻击和防御的分析，提出一种基于因素神经网络理论（ FNN）的入侵检测模型，描述入侵检测模型的结构和工作流程，将解析型因素神经网络和模拟型因素神经网络结合起来，解决对复杂入侵行为建模难的问题。通过实验对模型进行验证，实验表明该模型对已知入侵行为检测的准确度高，对未知入侵行为也能做出准确的判断。
通過對網絡攻擊和防禦的分析，提齣一種基于因素神經網絡理論（ FNN）的入侵檢測模型，描述入侵檢測模型的結構和工作流程，將解析型因素神經網絡和模擬型因素神經網絡結閤起來，解決對複雜入侵行為建模難的問題。通過實驗對模型進行驗證，實驗錶明該模型對已知入侵行為檢測的準確度高，對未知入侵行為也能做齣準確的判斷。
통과대망락공격화방어적분석，제출일충기우인소신경망락이론（ FNN）적입침검측모형，묘술입침검측모형적결구화공작류정，장해석형인소신경망락화모의형인소신경망락결합기래，해결대복잡입침행위건모난적문제。통과실험대모형진행험증，실험표명해모형대이지입침행위검측적준학도고，대미지입침행위야능주출준학적판단。
Through the analysis of network attack and defense , a model of intrusion detection based on the theory of factor neural networks ( FNN) is proposed .The structure and the working process of intrusion detection model are described .Combined with the analogous factor neural networks , the analytic factor neural networks can solve the problem of modeling for complex intrusion behavior .Finally an experimental verification of the model is given , which proves that the model of network intrusion detection with high accuracy can accurately judge the known and unknown intrusion behavior .
