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Technology of Network & Communication
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1863-1867

Improved AdaBoost.M2 algorithm for multiclass imbalanced protocol traffic

Zhang Renbin
Zhang Jie
Wu Pei
School of Computer & Information, Hefei University of Technology, Hefei 230009, China

Abstract

The existing AdaBoost. M2 algorithm are insufficient in protocol traffic multiclass imbalance to solve the problem. So this paper proposed an ensemble algorithm called RBWS-ADAM2 for the classification of multiclass Internet traffic. During each iteration of AdaBoost. M2, this algorithm preprocessed the training dataset by randomly balanced resampling, this strategy changed the number of majorities and minorities by randomly setting the sampling balance point to build multiple different training datasets. Moreover, this strategy took sample weight as the basis for sample screening to strengthen the learning of this kind of sample. The experimental comparison of RBWS-ADAM2 algorithm and other similar algorithms on the internationally published protocol traffic datasets shows that, compared to other algorithms, the proposed RBWS-ADAM2 algorithm not only improves the F-measure of most minorities, but increases the overall G-mean and the overall average F-measure effectively, and obviously enhances the overall performance of the ensemble classifier.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0010
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Technology of Network & Communication
Pages: 1863-1867
Serial Number: 1001-3695(2019)06-055-1863-05

Publish History

[2019-06-05] Printed Article

Cite This Article

张仁斌, 张杰, 吴佩. 一种面向多类不平衡协议流量的改进AdaBoost.M2算法 [J]. 计算机应用研究, 2019, 36 (6): 1863-1867. (Zhang Renbin, Zhang Jie, Wu Pei. Improved AdaBoost.M2 algorithm for multiclass imbalanced protocol traffic [J]. Application Research of Computers, 2019, 36 (6): 1863-1867. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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