摘要
通过对生物免疫系统和计算机免疫系统的比较,提出了一种改进的计算机免疫模型.该模型针对计算机免疫 系统中自体动态变化比生物体更为频繁的特点,提出了成熟免疫细胞的否定选择机制,并给出了成熟细胞的否定选择 算法;同时模型还针对计算机免疫系统中非自体的多样性和广泛性,提出了对记忆细胞的动态降职机制,并给出了记 忆细胞动态降职算法.将该模型运用于网络入侵检测应用的实验表明,模型具有更强的动态特征和鲁棒性.
An advanced model of computer immunology is brought forward based on the comparison between biology immune system and computer immune system. This model gives a mechanism and relevant arithmetic, which is called mature immune cell negative selection, to adapt to the computer system that change themselves frequently. At the same time, a memory cell dynamic demotion mechanism and relevant arithmetic are put forward to ensure the system to check multiform nonself. The network intrusion detection application, based on this model, shows that this model has high dynamic character and is more robust.
出处
《西南民族大学学报(自然科学版)》
CAS
2005年第2期266-270,共5页
Journal of Southwest Minzu University(Natural Science Edition)
关键词
免疫系统
否定选择
记忆细胞
动态降职
immune system
negative selection
memory cell
dynamic demotion