Title :
Pattern recognition by immunocomputing
Author :
Tarakanov, Alexander O. ; Skormin, Victor A.
Author_Institution :
Inst. for Informatics & Autom., Acad. of Sci., St. Petersburg, Russia
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007051
