【摘要】：BP算法是入侵檢測系統(tǒng)(IDS)的一種重要檢測方法,但是該算法存在檢測時間長、效率低下等局限性.為了解決以上問題,通過對BP算法的深入剖析,提出了一種面向入侵檢測系統(tǒng)的新算法——EBP(Enhanced BP)算法.EBP算法通過改進誤差函數(shù)、增加可自適應放大的誤差信號等方法,較好地解決了IDS的檢測速度慢、檢測效率低下等問題.實驗結(jié)果表明,EBP算法相比經(jīng)典的BP算法和MBP算法,不僅在網(wǎng)絡訓練的收斂速度上有了明顯改善,而且在IDS的檢測效率上分別提高了14.0%和8.1%,在誤報率上分別降低了4.45%和1.5%.
[Abstract]:BP algorithm is an important detection method for intrusion detection system (IDS), but it has some limitations such as long detection time and low efficiency. In order to solve the above problems, through the thorough analysis of BP algorithm, a new algorithm for intrusion detection system-EBP (Enhanced BP) algorithm is proposed. The EBP algorithm can increase the self-adaptive amplification error signal by improving the error function, and so on. The problems of low detection speed and low detection efficiency of IDS are well solved. The experimental results show that compared with the classical BP algorithm and MBP algorithm, the EBP algorithm not only improves the convergence speed of network training obviously, but also improves the detection efficiency of IDS by 14.0% and 8.1%, respectively. The false positive rate decreased by 4.45% and 1.5% respectively.
【作者單位】： 內(nèi)蒙古科技大學包頭師范學院計算機系;內(nèi)蒙古科技大學信息工程學院計算機系;
【基金】：國家自然科學基金項目(61163025) 內(nèi)蒙古自治區(qū)自然科學基金項目(2010BS0904) 內(nèi)蒙古自治區(qū)高等學校科學研究基金項目(NJ10162,NJZY14242,NJZY201) 包頭市科學研究基金項目(2014S2004-3-1-26)
【分類號】：TP393.08

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