基于多策略决策树剪枝算法的入侵检测系统

Intrusion detection system based on multi-strategy pruning algorithm of the decision tree

决策树是数据挖掘技术中一种有效的分类方法,使用该方法的入侵检测系统能够更加准确高效的对网络数据进行处理和告警.然而面对庞大的网络数据集,生成的决策树规模常常较大,难以理解.本文提出一种多策略的剪枝算法修剪生成的决策树,来提高入侵检测系统的效率和准确性.

The decision tree is an effective classification method in data mining technique. Using this method, intrusion detection system can be more accurate and efficient to process network data. However, faced the large network data sets, the scale of decision tree is often complex and hard to understand. This paper presents a multi-strategy pruning algorithm to trim the tree, this method can improve the efficiency and accuracy of intrusion detection system.