JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE)

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GAO Xiao-wei，JIANG Xiao-yun   

  1. School of Math.and System Science，Shandong University，Jinan 250100，China
  • Received:2006-02-10 Revised:1900-01-01 Online:2006-12-24 Published:2006-12-24
  • Contact: GAO Xiao-wei

Abstract: BP neural network has many merits for its application in intrusion detecting system, while also having some defects, such as its slow running rate. The commonly used LMBP algorithm can not be applied to the intrusion detecting system for its running speed, even with the quick constringency rate. The LMBP algorithm is optimized by utilizing the KDD99 data set, selecting the suitable data and adding some limiting conditions. The computation results before and after the optimization are compared, which confirm the optimized algorithm is effective. The optimized algorithm apparently increases the speed of BP neural network, and has certain practical significances, when it is applied in intrusion detecting system.

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

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