入侵检测系统是近年来出现的一种网络安全技术,在网络安全领域中发挥着越来越大的作用。但入侵检测系统自身的误报漏报及海量信息的涌现,使得人们必须谋求突破,使入侵检测系统实现更高的可用性和稳定性。本文提出了一个基于数据挖掘技术的入侵检测系统框架。 Intrusion detection system is a kind of network security technology appearing in recent years, playing an increasingly important role in the field of network security. However, the intrusion detection system’s own false positives and false negatives, as well as the emergence of massive information, make people have to make breakthroughs to make the intrusion detection system achieve higher usability and stability. This paper presents a data mining based intrusion detection system framework.