为了解决传统入侵检测系统中的不足，将人工免疫原理引入入侵检测系统。
In order to solve the problems in existing IDS, the artificial immunology is introduced in our network-based IDS.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
利用人工免疫具有自适应以及免疫学习能力的特点，将人工免疫原理应用到木马检测中。
Applied the artificial immune principle in the Trojan detection because of the adaptive and the immunity study capacity.
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