摘要
随着计算机和网络在人们生活和工作中的普遍应用,网络环境下数据的传输不断受到攻击和篡改,网络安全已变得越来越重要。网络安全风险防范的要求不断提高,针对目前的入侵检测系统准确度不高、自适应性差、检测效率低等问题,该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
《电脑知识与技术》
2013年第4X期2885-2887,共3页
Computer Knowledge and Technology
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
The data processing
