An Artificial Immune-based Feature Interaction Detection Method

Based on analyzing the similarities of the feature interaction detection system and artificial immune system, an artificial immune-based feature interaction detection method is proposed to detect all kinds of feature interactions in the next generation network, which references the multi-layer protection of the immune system and some immune principles, including the immune recognition, co-stimulation, immune learning, clone selection and self tolerance. The simulation and research show that this method is capable of detecting all kinds of feature interactions neatly, enhancing the detection ratio and efficiency dynamically, and adapting to multi-network with high expansibility and universality