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计算机工程 ›› 2008, Vol. 34 ›› Issue (6): 151-152. doi: 10.3969/j.issn.1000-3428.2008.06.055

• 安全技术 • 上一篇    下一篇

改进BP算法在入侵检测系统中的应用

许朋飞,沈 磊   

  1. (山东大学计算机学院,济南 250061)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-03-20 发布日期:2008-03-20

Application of Improved BP Algorithm in Intrusion Detection System

XU Peng-fei, SHEN Lei   

  1. (Computer College, Shandong University, Jinan 250061)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-03-20 Published:2008-03-20

摘要: 提出一种改进的BP算法,该算法中学习速率 不是凭经验给出的固定值,而是在学习过程中计算出的最优值αk。实验结果表明,与传统的BP算法相比,该算法可以减少学习时间,提高学习速度和网络入侵检测系统(NIDS)的检测率,可以解决当前NIDS普遍存在的虚警率过高问题。

关键词: 网络入侵检测系统, 神经网络, BP算法

Abstract: An improved BP algorithm is proposed,in the algorithm,the learning rate α is not given by experts, but the best value is computed during learning. The experimental results indicate that this improved algorithm can increase learning speed and shorten training time. have become a part of security infrastructures. As high false alarm rate exists in current network intrusion detection systems, this improved algorithm can improve the intrusion detection rate.

Key words: network intrusion detection systems, neural network, BP algorithm

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