DocumentCode
2931333
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
fYear
2013
fDate
15-17 Nov. 2013
Firstpage
445
Lastpage
447
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location
Macao
ISSN
2166-9430
Print_ISBN
978-1-4673-5247-5
Type
conf
DOI
10.1109/GSIS.2013.6714823
Filename
6714823
Link To Document