Title :
Intrusion detection system based on multi-strategy pruning algorithm of the decision tree
Author :
Huaibin Wang ; Boting Chen
Author_Institution :
Tianjin Key Lab. of Intell. Comput. & Novel, Tianjin Univ. of Technol., Tianjin, China
Abstract :
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.
Keywords :
data mining; decision trees; pattern classification; security of data; classification method; data mining; decision tree; intrusion detection system; multistrategy pruning algorithm; network data processing; Accuracy; Algorithm design and analysis; Classification algorithms; Decision trees; Intrusion detection; Rain; Vegetation; decision tree; intrusion detection system; multi-strategy; pruning;
Conference_Titel :
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4673-5247-5
DOI :
10.1109/GSIS.2013.6714823
