AdaBoost-based algorithm for network intrusion detection
文献类型：期刊论文
| 作者 | Hu, Weiming1 ; Hu, Wei1; Maybank, Steve2
|
| 刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
 |
| 出版日期 | 2008-04-01 |
| 卷号 | 38期号:2页码:577-583 |
| 关键词 | AdaBoost computational complexity detection rate false-alarm rate intrusion detection |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| 研究领域[WOS] | Automation & Control Systems ; Computer Science |
| 关键词[WOS] | ANOMALY DETECTION ; NEURAL-NETWORKS ; MODEL ; ENSEMBLE ; BEHAVIOR |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000254029400029 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9640]  |
| 专题 | 自动化研究所_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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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