Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 3
871-874,880

Multiscale feature fusion for malicious HTTP request detection

Wu Jiahong
Yang Zhenguo
Liu Wenyin
School of Computer Science, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2020.01.0071

Abstract

This paper proposed a multiscale feature fusion approach for malicious HTTP request detection. Firstly, it modeled the HTTP request in both word-level and character-level. Secondly, it extracted the high level sematic information in HTTP request by using a specially designed convolutional neural network(CNN). Thirdly, it jointly learnt the multiscale representation for HTTP request with the help of multimodal learning techniques. Finally, it adopted a linear classifier for classification. Experiments on public HTTP CSIC 2010 dataset and WAF dataset show that the proposed method has large improvement on the performance against existing state-of-the-art methods.

Foundation Support

国家自然科学基金资助项目(61703109,91748107)
广东省引进创新科研团队计划资助项目(2014ZT05G157)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.01.0071
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 3
Section: Technology of Information Security
Pages: 871-874,880
Serial Number: 1001-3695(2021)03-045-0871-04

Publish History

[2021-03-05] Printed Article

Cite This Article

巫家宏, 杨振国, 刘文印. 基于多尺度特征融合的恶意HTTP请求检测方法 [J]. 计算机应用研究, 2021, 38 (3): 871-874,880. (Wu Jiahong, Yang Zhenguo, Liu Wenyin. Multiscale feature fusion for malicious HTTP request detection [J]. Application Research of Computers, 2021, 38 (3): 871-874,880. )

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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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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