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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 10
3101-3106

Fine-grained Android malware classification with behavior features

Xu Yichao
Yuan Qianting
Xu Jian
School of Computer Science & Engineering, Nanjing University of Science & Technology, Nanjing 210094, China
DOI: 10.19734/j.issn.1001-3695.2019.05.0220

Abstract

Due to the openness of Android system, malware poses a threat to users of Android devices by implementing various malicious behaviors. At present, most of the existing researches focus on coarse-grained malicious detection, that is, whether an Android application is malicious or not. Aiming at this problem, this paper proposed a fine-grained malicious behavior classification method based on static behavior features. This method extracted and optimized multi-dimensional behavior characteri-stics, including API calls, permissions, intents and package dependencies. And then used random forest to classify malicious behaviors. It conducted the experiments on 24 553 malicious Android application samples in 73 malware families from multiple application markets. The experimental results show that the accuracy of fine-grained malware classification reached to 95.88%, which is better than other comparison methods.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.05.0220
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Technology of Information Security
Pages: 3101-3106
Serial Number: 1001-3695(2020)10-045-3101-06

Publish History

[2020-10-05] Printed Article

Cite This Article

许逸超, 袁倩婷, 徐建. 基于静态行为特征的细粒度Android恶意软件分类 [J]. 计算机应用研究, 2020, 37 (10): 3101-3106. (Xu Yichao, Yuan Qianting, Xu Jian. Fine-grained Android malware classification with behavior features [J]. Application Research of Computers, 2020, 37 (10): 3101-3106. )

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.

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