An immune method for network security risk evaluation

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.