Research of Network monitoring Management system Based on Artificial Immune

摘要

In order to solve the traditional network monitor management system fault detection of slow problem, adaptive differential of high false alarm rate we built network monitor system model combined with the artificial immune principle. Through artificial immune "self" and "non-self" recognition ability network monitoring algorithm simulated the matching, negative selection, memory mechanism of artificial immune system detection of network fault. Throughout the design process, we studied the biological immune characteristics, antibody affinity and concentration of concepts the antibody selection probability algorithm was proposed. The algorithm enhanced new antibody generation mechanisms, memory mechanism the and tolerance of the system to establish the network monitoring system provides the theoretical model.