AdaBoost-based algorithm for network intrusion detection

CASIA OpenIR > 09年以前成果

	AdaBoost-based algorithm for network intrusion detection
	Hu, Weiming1 ; Hu, Wei 1; Maybank, Steve 2
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
	2008-04-01
卷号	38 期号:2 页码:577-583
文章类型	Article
摘要	Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security system. Due to the variety of network behaviors and the rapid development of attack fashions, it is necessary to develop fast machine-learning-based intrusion detection algorithms with high detection rates and low false-alarm rates. In this correspondence, we propose an intrusion detection algorithm based on the AdaBoost algorithm. In the algorithm, decision stumps are used as weak classifiers. The decision rules are provided for both categorical and continuous features. By combining the weak classifiers for continuous features and the weak classifiers for categorical features into a strong classifier, the relations between these two different types of features are handled naturally, without any forced conversions between continuous and categorical features. Adaptable initial weights and a simple strategy for avoiding overfitting are adopted to improve the performance of the algorithm. Experimental results show that our algorithm has low computational complexity and error rates, as compared with algorithms of higher computational complexity, as tested on the benchmark sample data.
关键词	Adaboost Computational Complexity Detection Rate False-alarm Rate Intrusion Detection
WOS标题词	Science & Technology ; Technology
关键词[WOS]	ANOMALY DETECTION ; NEURAL-NETWORKS ; MODEL ; ENSEMBLE ; BEHAVIOR
收录类别	SCI
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000254029400029
引用统计	被引频次：210[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9640
专题	09年以前成果
作者单位	1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China 2.Univ London Birkbeck Coll, Sch Comp Sci & Informat, London WC1E 7HX, England
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Hu, Weiming,Hu, Wei,Maybank, Steve. AdaBoost-based algorithm for network intrusion detection[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2008,38(2):577-583.
APA	Hu, Weiming,Hu, Wei,&Maybank, Steve.(2008).AdaBoost-based algorithm for network intrusion detection.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,38(2),577-583.
MLA	Hu, Weiming,et al."AdaBoost-based algorithm for network intrusion detection".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 38.2(2008):577-583.