基于人工免疫原理的入侵检测技术的研究

Research on the immune-based technique to detect intrusions

受免疫系统的排斥异己机理的启发,提出了一种基于人工免疫原理的入侵检测方法.可以通过基因搜索进化,区分网络数据流中的各种程度的入侵行为.通过使用入侵检测数据集合证明了此方法可以用来检测各种入侵计算机网络的行为。

This paper presents a technique inspired by the negative selection mechanism of the immune system that can detect foreign patterns. The novel pattern detector is evolved using a genetic search, which could differentiate varying degrees of abnormality in network traffic. The paper demonstrates the usefulness of such a technique to detect a wild variety of intrusive activities on networked computers. Experiments are performed using intrusion detection data sets for validation.