Abstract: On the studying techniques of the Intrusion Detection System(IDS), this paper develops the IDS model based on the user behavior. The genetic algorithm is applied to the IDS for the accuracy of the pattern warehouse. So it succeeds in combining the IDS and the genetic algorithm. Result of the experiment proves the genetic algorithm is effective and practical.

Key words: network security, intrusion detection, genetic algorithm, pattern warehouse

摘要： 在研究分析入侵检测系统相关技术基础上，提出基于用户行为的入侵检测系统模型。针对入侵检测技术中的模式库建立的时效性和准确性问题，将具有优化功能的遗传算法应用到入侵检测技术中，实现了遗传算法与入侵检测技术的有机结合。实验结果证明，将遗传算法应用到入侵检测技术中是有效的、可行的。

关键词: 网络安全, 入侵检测, 遗传算法, 模式库

CLC Number: 

• TP393.08