instruction detection technology is core in instruction detection system, it include abnormity instruction and abused instruction detection, on the basis of traditional network security model, ppdr model, instruction detection principle and instruction technology analysis, the author has brought forward instruction detection method based genetic neural networks, adopted genetic algometry and bp neural networks union method, and applied in instruction detection system, solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value 入侵檢測(cè)分析技術(shù)是入侵檢測(cè)系統(tǒng)的核心,主要分為異常入侵檢測(cè)和誤用入侵檢測(cè)。作者在對(duì)傳統(tǒng)網(wǎng)絡(luò)安全模型、ppdr模型、入侵檢測(cè)原理以及常用入侵檢測(cè)技術(shù)進(jìn)行比較分析的基礎(chǔ)上,提出了一個(gè)基于遺傳神經(jīng)網(wǎng)絡(luò)的入侵檢測(cè)方法,采用遺傳算法和bp神經(jīng)網(wǎng)絡(luò)相結(jié)合的方法?遺傳神經(jīng)網(wǎng)絡(luò)應(yīng)用于入侵檢測(cè)系統(tǒng)中,解決了傳統(tǒng)的bp算法的收斂速度慢、易陷入局部最小點(diǎn)的問(wèn)題。
instruction detection technology is core in instruction detection system, it include abnormity instruction and abused instruction detection, on the basis of traditional network security model, ppdr model, instruction detection principle and instruction technology analysis, the author has brought forward instruction detection method based genetic neural networks, adopted genetic algometry and bp neural networks union method, and applied in instruction detection system, solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value 入侵檢測(cè)分析技術(shù)是入侵檢測(cè)系統(tǒng)的核心,主要分為異常入侵檢測(cè)和誤用入侵檢測(cè)。作者在對(duì)傳統(tǒng)網(wǎng)絡(luò)安全模型、ppdr模型、入侵檢測(cè)原理以及常用入侵檢測(cè)技術(shù)進(jìn)行比較分析的基礎(chǔ)上,提出了一個(gè)基于遺傳神經(jīng)網(wǎng)絡(luò)的入侵檢測(cè)方法,采用遺傳算法和bp神經(jīng)網(wǎng)絡(luò)相結(jié)合的方法?遺傳神經(jīng)網(wǎng)絡(luò)應(yīng)用于入侵檢測(cè)系統(tǒng)中,解決了傳統(tǒng)的bp算法的收斂速度慢、易陷入局部最小點(diǎn)的問(wèn)題。