Title :
An immune method for network security risk evaluation
Author_Institution :
Dept. of Comput., Sichuan Univ., Chengdu
Abstract :
An immune method for real-time computer network security risk evaluation is proposed. The concepts of self, nonself, antigen and immunocyte of computer immune system are defined. The dynamic model of self, marrow model, clone selection, learning scheme, life span of immunocyte are built. A computational model of risk evaluation based on the antibody concentration of memory immunocytes for network security is thus presented. The experiment shows that this method has the features of quantitative calculation and real-time processing ability.
Keywords :
computer networks; genetic algorithms; security of data; antibody concentration; antigen; clone selection; computational model; computer immune system; computer network security risk evaluation; dynamic model; learning scheme; marrow model; memory immunocytes; Application software; Cloning; Computational modeling; Computer networks; Computer security; Helium; Immune system; Intrusion detection; Risk analysis; Sampling methods;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630978
