• DocumentCode
    1839766
  • Title

    Network Intrusion Classification Based on Probabilistic Neural Network

  • Author

    Liu Ning

  • Author_Institution
    Dept. of Comput. Sci., ShangLuo Univ., ShangLuo, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    57
  • Lastpage
    59
  • Abstract
    In order to improve the performance of network intrusion classification, the probabilistic neural network is applied to the field of intrusion detection. Analyzing the theory of probabilistic neural network, a kind of network intrusion classification model based on probabilistic neural network is put forward to solve two classification and multi-class classification problem in intrusion detection. Finally, the experiment is carried out based on KDD Cup 99 data set. The results show that the proposed model has better performance.
  • Keywords
    neural nets; pattern classification; probability; security of data; intrusion detection; multiclass classification problem; network intrusion classification; probabilistic neural network; Biological neural networks; Intrusion detection; Neurons; Probabilistic logic; Training; Vectors; Probabilistic neural network; classification; intrusion detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.23
  • Filename
    6642938