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AdaBoost-based algorithm for network intrusion detection
Hu, Weiming1; Hu, Wei1; Maybank, Steve2
2008-04-01
发表期刊IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
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
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
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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.
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