• DocumentCode
    1668258
  • Title

    Pattern recognition by immunocomputing

  • Author

    Tarakanov, Alexander O. ; Skormin, Victor A.

  • Author_Institution
    Inst. for Informatics & Autom., Acad. of Sci., St. Petersburg, Russia
  • Volume
    1
  • fYear
    2002
  • Firstpage
    938
  • Lastpage
    943
  • Abstract
    The authors had developed a rigorous mathematical approach, describing the operation of the immune system based on the models of proteins and immune networks. An immunocomputing approach is proposed as a computational basis for artificial immune systems. A further development of immunocomputing and its application to pattern recognition is considered herein. It is shown that intrusion detection in computer networks presents a possible implementation of immunocomputing
  • Keywords
    computer networks; learning (artificial intelligence); pattern recognition; security of data; artificial immune systems; formal protein; immunocomputing; learning; network intrusion detection; pattern recognition; protein models; Artificial immune systems; Biological information theory; Biological system modeling; Immune system; Integrated circuit modeling; Mathematical model; Pattern recognition; Proteins; Prototypes; Supervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1007051
  • Filename
    1007051
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1668258