摘要
在防火墙中实现了一个学习模块,并对攻击以及正常网络数据进行收集分析,然后选择属性良好的网络数据作为训练样本,进行了决策树的ID3算法实现.通过这一学习模块的加入,使得防火墙可以对新的流入数据进行判断和学习,从而向智能化方向发展.
The machine learning algorithm was proposed and a Program of ID3 algorithm was developed. The data from attacks were collected and the network data which has better attribute were chosen as a training example to realize a learning module. By this learning module the firewall could generate the firewall rules and get learning ability.
出处
《山东理工大学学报（自然科学版）》
CAS
2008年第3期33-37,共5页
Journal of Shandong University of Technology:Natural Science Edition
关键词
防火墙
专家系统
机器学习
决策树
ID3算法
firewall
expert system
machine learning
decision tree
ID3 algorithm
