Collaborative Identification of Danger Signal in Artificial Immune System

The producing mechanism for danger signals is the most important in the danger theory used in AIS. To determine whether a system is "dangerous" needs more considerations. This paper uses the cloud model to describe the changes of system continuous parameters. For discontinuous change parameters, we use the changes of each parameter as a separate danger signal. The continuous and discontinuous parameters of danger signals together constitute the overall rule library. we use the method that calculating the triggered rules to determine the "danger" or "security" of system, and realize the collaborative identification of danger signals.