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提出了一种新的基于免疫的动态入侵检测模型(Idid),建立了入侵检测中有关自体、抗原的动态描述方法,提出了免疫细胞的动态耐受概念,并建立了成熟细胞的生命周期以及免疫记忆等的动态模型及其递推方程.解决了计算机免疫系统中自体、非自体的动态描述问题,并同时有效地克服了传统计算机免疫系统中成熟细胞生成效率较低等缺陷.对模型进行了仿真,对比实验表明这种新型的入侵检测模型较传统方法具有更好的适应性.
A new immune-based dynamic intrusion detection model (Idid) is proposed, and a dynamic description of autologous and antigen in intrusion detection is established. The concept of dynamic tolerance of immune cells is proposed and the life cycle of mature cells is established. Immune memory and other dynamic models and their recursive equations to solve the computer’s immune system in the autologous and non-autonomic dynamic description of the problem and effectively overcome the traditional computer immune system in mature cells to generate low efficiency and other defects on the model Simulation shows that the new intrusion detection model has better adaptability than the traditional method.