摘要
入侵检测系统是目前安全领域较新课题,是动态安全领域的核心,但目前仍然存在很多问题,特别是具有自适应能力、能自我学习的入侵检测系统还不完善。针对这些问题,本文提出了一种基于粗糙集理论的入侵检测系统的方法。
Intrusion Detection System, new domain of Network Security, is a core research area in dynamic Information Security, but it still has many problems, especially in self-completing and self-learning. To solve these problems, this thesis proposed a new model for the intrusion detection system that based on the data mining.
出处
《齐齐哈尔大学学报(自然科学版)》
2005年第1期34-38,共5页
Journal of Qiqihar University(Natural Science Edition)
关键词
粗糙集
数据挖掘
决策系统
属性约简
rough sets
data mining
decision systems
attribute reduction