摘要
传统的入侵检测系统在网络上存在自适应差、缺乏扩展性、数据过载等问题,而基于数据挖掘的入侵检测技术通过数据挖掘的方法,自动地从训练数据中提取出入侵检测的知识和模式,很好地解决了传统入侵检测系统中存在的问题。本文提出了一种基于数据挖掘的入侵检测系统模型,分析了几种入侵检测技术的数据挖掘方法。
There are many problems such as poor adaptability, limited extensibility, data overloading in traditional IDS. The method based on data mining can get knowledge and pattern of IDS from training data, so it can solve these problems of traditional IDS, This paper introduces a model of IDS based on data mining and analyzes several methods of intrusion detection.
出处
《计算机与现代化》
2007年第9期22-23,26,共3页
Computer and Modernization
