摘要
针对现有入侵检测系统在处理大量数据时,挖掘速度慢,自适应能力差的缺点,引入了数据挖掘技术使其能从大量数据中发现入侵特征和模式,提出了一种基于数据挖掘技术的入侵检测系统模型,并研究了建模过程中用到的算法.
Since the current intrusion detection system has weaknesses such as the lower speed in mining and the weakness in the self - adaptation ability, this paper constructs an intrusion detection system model based on the data mining technology. After introducing the technology, we can find the intrusion characteristics and its pattern. Finally, the algorithm for constructing the model is studied.
出处
《平顶山学院学报》
2008年第2期101-104,共4页
Journal of Pingdingshan University
关键词
入侵检测
数据挖掘
关联规则
频繁模式
intrusion detection
data mining
association rules
frequent pattern
