A Method of Risk Detection About Network Security Based on Artificial Immune System

The paper presents a method of risk evaluation for a large scope of network activity. The definition of self and nonself in networksecurity are introduced. Based on the fundamental theory of immune system such as clone select and self tolerance, the abnormal activity in thenetwork can be detected by computing antibody concentration. Experiment proves that the method has ability of real-time and quantitativecomputation and it is an effective solution for risk detection of network security.