Abstract
This paper’s purpose is to design a novel artificial immune model for network intrusion detection. This novel model can satisfy three main requirements of an efficient network intrusion detection system, namely, distributed, lightweight and self-organizing, can also quicken the process of affinity maturation of detector population and improve the efficiency of anomaly detection. The algorithms of adaptive extracting vaccines and vaccine operator are given in detail. And then, on the basis of Kim’s conceptual model for network intrusion detection, a novel artificial immune model and relevant algorithm for real-time network intrusion detection is proposed, which integrates vaccine operator with negative selection algorithm and clonal selection algorithm.
Published Version
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