• DocumentCode
    3478317
  • Title

    Three-Level Anomaly Disposal System Model Based on Danger Theory

  • Author

    Fu, Hai-Dong ; Li, Gui-Feng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In order to improve the intrusion detection system based on traditional immune theory, a new three levels anomaly disposal system model based on danger theory was proposed in this paper. The data stream is treated with three levels anomaly disposal in the model, the first level is to recognize the danger and remove the data of non-danger which will not bring damage to the system, for the second level is all dangerous abnormal invasions which will be classified properly, and then the danger will be solved finally at the third level. The designed model improved the system\´s "danger" recognition, reduced the false alarm as well as failed alarm efficiently, and it has strong robustness and cognitive learning ability.
  • Keywords
    artificial immune systems; computer networks; learning (artificial intelligence); telecommunication security; cognitive learning ability; computer network security; danger theory; data stream; false alarm; immune theory; intrusion detection system; three-level anomaly disposal system model; Artificial immune systems; Biological system modeling; Computer science; Detection algorithms; Educational institutions; Immune system; Information security; Intrusion detection; Organisms; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.2925
  • Filename
    4681114