Technology of Information Security
|
1845-1851

Online botnet detection method based on ensemble learning

Shen Qi
Tu Zhe
Li Kun
Qin Yajuan
Zhou Huachun
School of Electronic & Information Engineering, Beijing Jiaotong University, Beijing 100044, China

Abstract

To solve the problem that existing botnet detections targeted a single phase of the botnet lifecycle, this paper proposed an online botnet detection method based on ensemble learning. Firstly, this paper fine-grained labeled the traffic of multiple phases of botnet lifecycle to generate a botnet dataset. Secondly, this paper combined multiple feature selection algorithms to generate a significant feature set containing 23 features and a less significant feature set containing 28 features. It integrated multiple deep learning models based on stacking ensemble learning and provided different input feature sets for different primary classifiers to obtain a botnet online detection model. Finally, this paper deployed the botnet online detection model to detect multiple botnets online at the network entrance. Experiment shows that the proposed botnet online detection method based on ensemble learning in this paper can effectively detect multiple stages of botnet traffic, and the malicious traffic detection rate can reach 96.47%.

Foundation Support

国家重点研发计划资助项目(2018YFA0701604)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0599
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Technology of Information Security
Pages: 1845-1851
Serial Number: 1001-3695(2022)06-042-1845-07

Publish History

[2022-01-10] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

沈琦, 涂哲, 李坤, 等. 基于集成学习的僵尸网络在线检测方法 [J]. 计算机应用研究, 2022, 39 (6): 1845-1851. (Shen Qi, Tu Zhe, Li Kun, et al. Online botnet detection method based on ensemble learning [J]. Application Research of Computers, 2022, 39 (6): 1845-1851. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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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