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Study and Application of BP Neural Network in Intrusion Detection

  • Zhiwei Zhao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 163)

Abstract

Network security is the foundation to safeguard work concerning network, but various events and means to threaten network security have emerged one after another. As an effective auxiliary means in traditional security technology, the intrusion detection system has become a research hotspot in the field of computer system and network security. This paper has studied the basic algorithm of BP neural network, and adopted the improved LM-BP algorithm to design the intrusion detection system. Through comparison and analysis we find that compared with traditional algorithm of BP neural network, the algorithm of BP neural network not only has higher execution efficiency, its false alarm rate and error rate of intrusion detection are also lower than other detection methods, which has important significance to safeguard network security.

Keywords

BP neural network BP algorithm BP algorithm Intrusion detection 

References

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    Sun Yani, Wang Xinfang, Chen Xinhua (2009) Ensemble classification system based on intrusion detection of neural network. Comput Eng Des 5(4):63–67Google Scholar
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    Li Gang (2010) Application of improved BP network in intrusion detection. Chongqing Univ Sci Technol J (Sci ed) 1(6):51–54Google Scholar
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    Bu-Qing CAO, Jian-Xun LIU, Bin Wen (2012) Currency characteristic extraction and identification research based on PCA and BP neural network. JCIT 7(2):38–44Google Scholar
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    Junxin Shen, Songjiang Wang (2012) The application of neural network in build-operate-transfer project risk control. AISS 4(1):93–99Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyTangshan CollegeTangshanChina

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