A Network Intrusion Detection Method Inspired by Biological Immunology
In this article an Immune Based Intrusion Detection Model (IBIDM) was built to simulate the dynamic relationships between the intrusion antigen intensity and the antibody concentration in the biological immune systems. In IBIDM, traditional detection rules and network traffic patterns are mapped to antibodies and antigens respectively. The network security situation is presented in the form of detector numbers to help reduce false alarm rate. Computer simulations show that the proposed model is effective for intrusion detection.
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
R. Deng and X. Y. Zhang, "A Network Intrusion Detection Method Inspired by Biological Immunology", Advanced Materials Research, Vols. 121-122, pp. 482-485, 2010