Research on Intrusion Detection Technology Based on Immune Algorithm

By analyzing and improving the artificial immune algorithm based on information entropy and Euclidean distance, a novel artificial immune algorithm used in intrusion detection (AIAID) is proposed. The core of the algorithm lies on improving the calculation about similarity and expected breed rate by the principle of Mahalanobis distance, namely introducing the importance and value range of antibody attributes into correlation computing. And algorithm flow is optimized. Then a new model for intrusion detection system is designed by using AIAID. The tests indicate that using AIAID in intrusion detection can obviously shorten training time and improve detection efficiency.