An Intrusion Protection Model Based on Artificial Immune

In this paper, we have proposed a new immune-based model for detecting and preventing network intrusions. The proposed approach can quantively detect the massive network intrusion in time, where a new scheme of bacterin is presented for quickly detecting the similar intrusion in neighbor networks. Comparing with traditional methords, it has the advantages of distributed computing, self-learning, self-adapting, etc.