现代电子技术
現代電子技術
현대전자기술
Modern Electronics Technique
2015年
21期
105-108
,共4页
神经网络%入侵检测模型%网络安全%漏报率%误报率
神經網絡%入侵檢測模型%網絡安全%漏報率%誤報率
신경망락%입침검측모형%망락안전%루보솔%오보솔
neural network%intrusion detection model%network security%missing alarm rate%false alarm rate
主要研究包含神经网络模块的网络入侵检测模型及系统,分析传统入侵检测系统的缺陷及神经网络技术在入侵检测中的优势,建立了基于神经网络且包含误用和异常检测的网络入侵检测系统.利用该系统进行了大量入侵检测试验,试验结果表明:所建模型具有较低的漏报率和误报率,可以很好地检测各种网络入侵类型,大大提高网络的安全性能.
主要研究包含神經網絡模塊的網絡入侵檢測模型及繫統,分析傳統入侵檢測繫統的缺陷及神經網絡技術在入侵檢測中的優勢,建立瞭基于神經網絡且包含誤用和異常檢測的網絡入侵檢測繫統.利用該繫統進行瞭大量入侵檢測試驗,試驗結果錶明:所建模型具有較低的漏報率和誤報率,可以很好地檢測各種網絡入侵類型,大大提高網絡的安全性能.
주요연구포함신경망락모괴적망락입침검측모형급계통,분석전통입침검측계통적결함급신경망락기술재입침검측중적우세,건립료기우신경망락차포함오용화이상검측적망락입침검측계통.이용해계통진행료대량입침검측시험,시험결과표명:소건모형구유교저적루보솔화오보솔,가이흔호지검측각충망락입침류형,대대제고망락적안전성능.
The network intrusion detection model and system including neural network module are studied mainly. The de-fects of the traditional intrusion detection system and the advantages of neural network technology applied in intrusion detection are analyzed,and the network intrusion detection system including misuse and abnormal detection based on neural network was established. A large number of intrusion detection tests were carried out by using this system. The test results show that the es-tablished model has low missing alarm rate and false alarm rate,can detect a variety of network intrusion types better,and im-prove the safety performance of the network greatly.
