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Immune vaccination model apply to network intrusion defense

机译:免疫接种模型适用于网络入侵防御

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Inspired information processing in biology immune system is a highly parallel and distributed intelligent computation which has immune memory, and self-learning, retrieval capabilities. The theory of modern immunology provides a new idea to study network intrusion defense algorithm. The architecture of network intrusion defense based on immune vaccination principle is proposed. The intrusion detection system can detect all intrusions, including known and unknown. The information of new intrusion, which gotten from current monitored network is encapsulated and sent to the other network as vaccine. So the other network can defense the same intrusion. The experimental results show that the new model actualizes an active and distributed prevention policy than that of the traditional passive intrusion prevention systems
机译:生物免疫系统中的启发式信息处理是具有免疫记忆,自学习和检索功能的高度并行和分布式智能计算。现代免疫学理论为研究网络入侵防御算法提供了新思路。提出了基于免疫接种原理的网络入侵防御体系结构。入侵检测系统可以检测所有入侵,包括已知和未知入侵。从当前监视的网络获得的新入侵信息被封装并作为疫苗发送到另一个网络。因此,另一个网络可以防御相同的入侵。实验结果表明,与传统的被动入侵防御系统相比,新模型实现了主动和分布式的防御策略

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