Artificial Immune Danger Theory Based Model for Network Security Evaluation

Abstract

Inspired by the principles of immune danger theory, a danger theory based model for network security risk assessment is presented in this paper. Firstly, the principle of the danger theory is introduced. And then, with the improved concepts and formal definitions of antigen, antibody, danger signal, and detection lymphocyte for network security risk assessment presented , the distributed architecture of the proposed model is described . Following that, the principle of network intrusion detection is expounded. Finally, the method of network security risk assessment is given . Theoretical analysis and simulation results show that the proposed model can evaluate the network attack threats in real time. Thus, it provides an effective risk evaluation solution to network security.