• DocumentCode
    643181
  • Title

    Development of neural network immune detectors for computer attacks recognition and classification

  • Author

    Komar, Maria ; Golovko, Vladimir ; Sachenko, Anatoliy ; Bezobrazov, S.

  • Author_Institution
    Res. Inst. for Intell. Comput. Syst., Ternopil Nat. Econ. Univ., Ternopil, Ukraine
  • Volume
    02
  • fYear
    2013
  • fDate
    12-14 Sept. 2013
  • Firstpage
    665
  • Lastpage
    668
  • Abstract
    There is developed a combined method that is based on the integration of neural network detectors in an artificial immune system. This allowed them to adapt to new attacks with the help of cloning and mutation operations.
  • Keywords
    artificial immune systems; neural nets; pattern classification; security of data; artificial immune system; cloning operations; computer attack classification; computer attack recognition; mutation operations; neural network immune detectors; Computers; Detectors; Immune system; Information technology; Intrusion detection; Neural networks; Training; artificial immune systems; information telecommunication networks; neural network; neural network immune detector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-1426-5
  • Type

    conf

  • DOI
    10.1109/IDAACS.2013.6663008
  • Filename
    6663008