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

The decision tree is an effective classification method in data mining. Using this method, the intrusion detection system can be more accurate and efficient to process network data. However, faced with a large network data set, 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.