• DocumentCode
    2587140
  • Title

    Simulation Modeling of Network Intrusion Detection Based on Artificial Immune System

  • Author

    Yu Jing ; Wang Feng

  • Author_Institution
    New Star Res. Inst. of Appl. Technol., Hefei, China
  • Volume
    2
  • fYear
    2010
  • fDate
    19-20 Dec. 2010
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    There is much comparability between natural immune system and computer security, and the key point is how to distinguish self from other. Based on the principles and structures of artificial immune system, the simulation modeling of network intrusion detection was developed. The model consisted of many nodes that distributed across different locations. The nodes needed not be centralized controlled. The purpose of model was to distinguish between illegitimate behavior (non-self) and legitimate behavior (self). In case of finding abnormity, model could give an alarm to user.
  • Keywords
    artificial immune systems; computer network security; artificial immune system; computer security; illegitimate behavior; legitimate behavior; network intrusion detection; simulation modeling; Artificial immune systems; Computational modeling; Computers; Detectors; Intrusion detection; Strontium; artificial immune system; computer security; detector; instruction detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (WCSE), 2010 Second World Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9287-9
  • Type

    conf

  • DOI
    10.1109/WCSE.2010.78
  • Filename
    5718366