摘要
针对目前的入侵检测系统(IDS)准确度不高、自适应性差、检测效率低等问题,本文基于决策树分类算法,设计了一个基于决策树的入侵检测系统模型,将决策树算法作为分类器应用于入侵检测的过程中,提高了入侵检测系统的性能。
In view of the present intrusion detection system （IDS） accuracy is not high, poor adaptability and low detection efficiency problems, this article is based on decision tree classification algorithm, and designed a model of intrusion detection system based on decision tree, decision tree algorithm as classifier is applied to the process of intrusion detection, improve the performance of the intrusion detection system.
出处
《电子设计工程》
2013年第22期46-48,共3页
Electronic Design Engineering
基金
河南省教育厅科学技术研究重点项目(13A520786)
关键词
入侵检测
决策树
入侵检测系统
数据处理
intrusion detection
decision tree
intrusion detection system
data processing
