Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 5
1534-1540

Research on application of depthwise separable convolution in Android malware classification

Chu Kuna,b
Wan Lianga,b
Ma Dana,b
Zhang Zhininga,b
a. College of Computer Science & Technology, b. Institute of Computer Theory & Software, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2021.10.0435

Abstract

Traditional machine learning requires complex feature engineering in malware analysis, which is not suitable for large-scale malware analysis. For this reason, this paper used the visualization method to deal with the malware to improve the detection efficiency on Android malware. Thus, this paper proposed an Android malware classification model based on global attention module(GCBAM) which combined depthwise separable convolution(DSC) and attention mechanism. It extracted bytecode files from APK files and converted bytecode files into corresponding grayscale images, and trained image datasets by constructing a classification model based on GCBAM to make the module have Android malware classification capabilities. Experiments show that the model can effectively classify Android malware families. On the obtained 7 630 samples, the classification accuracy rate reaches 98.91%, which is superior to machine learning algorithms in terms of accuracy and recall.

Foundation Support

国家自然科学基金资助项目(62062020)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0435
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Technology of Information Security
Pages: 1534-1540
Serial Number: 1001-3695(2022)05-043-1534-07

Publish History

[2021-12-15] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

褚堃, 万良, 马丹, 等. 深度可分离卷积在Android恶意软件分类的应用研究 [J]. 计算机应用研究, 2022, 39 (5): 1534-1540. (Chu Kun, Wan Liang, Ma Dan, et al. Research on application of depthwise separable convolution in Android malware classification [J]. Application Research of Computers, 2022, 39 (5): 1534-1540. )

About the Journal

  • 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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)