Immune Multi-agent Active Defense Model for Network Intrusion

Inspired by the immune theory and multi-agent systems, an immune multi-agent active defense model for network intrusion is established. The concept of immune agent is introduced. While its logical structure and running mechanism are established. The method which uses antibody concentration to quantitatively describe the degree of intrusion danger is presented. The proposed model implements a multi-layer and distributed active defense mechanism for network intrusion, and it is a new way to the network security.

[1]  Rogério de Lemos,et al.  Negative Selection: How to Generate Detectors , 2002 .

[2]  Alan S. Perelson,et al.  Self-nonself discrimination in a computer , 1994, Proceedings of 1994 IEEE Computer Society Symposium on Research in Security and Privacy.

[3]  H.M. Faheem,et al.  Evaluating how well agent-based IDS perform , 2005, IEEE Potentials.

[4]  Yuebin Bai,et al.  Intrusion Detection Systems: technology and development , 2003, 17th International Conference on Advanced Information Networking and Applications, 2003. AINA 2003..

[5]  Alan S. Perelson,et al.  The immune system, adaptation, and machine learning , 1986 .

[6]  Tao Li,et al.  An immune based dynamic intrusion detection model , 2005 .

[7]  Jerne Nk Towards a network theory of the immune system. , 1974 .

[8]  Peter J. Bentley,et al.  An artificial immune model for network intrusion detection , 1999 .

[9]  Tao Li,et al.  An immunity based network security risk estimation , 2005, Science in China Series F: Information Sciences.

[10]  Dipankar Dasgupta An artificial immune system as a multi-agent decision support system , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[11]  Yuebin Bai,et al.  Intrusion Detection System: Technology and Development , 2003 .