基于Lisys的人工免疫入侵检测模型研究

研究已有的基于人工免疫原理的入侵检测系统框架Lisys，分析其优缺点，并在此框架基础之上，着重对特征编码的表示方法进行了设计，将多层次免疫算法引入系统，通过设计三种类型不同的检测器，实现在检测过程中粗细粒度结合，从而提出了一种新的基于Lisys的人工免疫入侵检测模型，该模型较好解决了入侵检测系统高漏报率、误报率问题。

The Study of Artificial Immune Intrusion Detection Model Based on Lisys

In this paper, Homfeyr and Forrest' artificial immune model Lisys is firstly introduced briefly, and then analyze the advantages and disadvantages of Lisys. On the base of the framework, design a new representation of pattern codes for the system. Introduce Multilevel Immune Learning Algorithm into the Intrusion Detection System. By the three Types of Detector in this system, implement different degree granularity detection during the process of intrusion detection. Propose a new artificial immune intrusion detection model based on Lisys, which can resolve high rate of false alarm in the intrusion detection system before.