• DocumentCode
    736845
  • Title

    Detection System and the Realization of the Principle of BP Neural Network Based Intrusion

  • Author

    Ting, Chen

  • fYear
    2015
  • fDate
    13-14 June 2015
  • Firstpage
    377
  • Lastpage
    382
  • Abstract
    Based on the research of the traditional intrusion detection technology analysis, statistical model for the formation of the rule base, management and the ability of intrusion detection and so on there are still some deficiencies and defects, due to the actual test result can not meet the requirements. This article is based on the traditional intrusion detection system in the high miss rate and error rate, slow training process and low detection efficiency problems to be solved, this paper proposes a intrusion detection system based on BP neural network.
  • Keywords
    Analytical models; Biological neural networks; Cost function; Intrusion detection; Neurons; Training; Intrusion detection; Problem; The BP neural network; traditional detection techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
  • Conference_Location
    Nanchang, China
  • Print_ISBN
    978-1-4673-7142-1
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2015.97
  • Filename
    7263590