• DocumentCode
    424213
  • Title

    The simulant discrimination between self and non-self by using strings

  • Author

    Xiong, Sheng-wu ; Wang, Yang

  • Author_Institution
    Sch. of Comput. & Technol., Wuhan Univ. of Technol., China
  • Volume
    4
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    2312
  • Abstract
    The natural immune system has evolved many interesting mechanisms to solve complex engineering tasks. An ongoing research on the metaphor between the immune system and the host-based intrusion detection is reported. The primary investigation focuses on the simulation of the discrimination between self-behaviors and non-self behaviors by using strings in this paper. The experiment results demonstrate that it is possible to discriminate the dangerous behaviors from others by using sequences of system calls. This work is a part of a research program aiming at building computer security systems that incorporate the mechanisms and algorithms used by natural immune systems.
  • Keywords
    security of data; string matching; complex engineering task; host-based intrusion detection; natural immune system; nonself behavior; self-behaviors; simulant discrimination; strings; Computational modeling; Computer networks; Computer security; Expert systems; Humans; Immune system; Intrusion detection; Pathogens; Protection; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382185
  • Filename
    1382185