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Based on artificial immune theory, a new model of active defense for analyzing the network intrusion is presented. Dynamically evaluative equations for self, antigen, immune tolerance, mature-lymphocyte lifecycle and immune memory are presented. The concepts and formal definitions of immune cells are given, the hierarchical and distributed management framework of the proposed model are built. Furthermore, the idea of biology immunity is applied for enhancing the self-adapting and self-learning ability to adapt continuously variety environments. The experimental results show that the proposed model has the features of real-time processing, self-adaptively, and diversity, thus providing a good solution for network surveillance.