• DocumentCode
    3174707
  • Title

    Quantum Self Organized Map-based intrusion detection system

  • Author

    Ong Hou, Y. ; Zheng, Xue-feng

  • Author_Institution
    Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2010
  • fDate
    29-30 Oct. 2010
  • Firstpage
    140
  • Lastpage
    145
  • Abstract
    In this paper, we describe an implementation of a type of SOM - Quantum Self Organized Map (QSOM). The training process of QSOM networks can be described in terms of input pattern presentation and quantum states of weight update by quantum rotation gates. We implemented and applied the QSOM to the network intrusion detection. The validities and feasibilities of the QSOM are confirmed through experiments on KDD Cup 99 datasets. The experiment result shows that the QSOM has great potential ability to increase the detection rate for a general network intrusion detection system.
  • Keywords
    pattern clustering; quantum computing; security of data; self-organising feature maps; KDD Cup 99 datasets; QSOM network; network intrusion detection system; quantum rotation gate; quantum self organized map; Neurons; Probes; Training; QSOM; intrusion detection system; quantum clustering algorithm; quantum neuron;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Education (ICAIE), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-6935-2
  • Type

    conf

  • DOI
    10.1109/ICAIE.2010.5641414
  • Filename
    5641414