In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
Technology of Information Security
|
1813-1818

Detection and classification of Android malware based on software gene

Han Jin
Shan Zheng
Zhao Binglin
Sun Wenjie
State Key Laboratory of Mathematical Engineering & Advanced Computing, Zhengzhou 450001, China

Abstract

With the development of mobile Internet, malicious code for Android platform has increased dramatically. And face up to the mount of Android malware, the current analyzing methods are focusing on the characteristic-based detecting, which is lack of a uniform systematic analyzing and classifying method. To resolve this status, this paper proposed the definition of Android malware gene to analyze malware via binary sequence including function and information. And based on the characteristics of Android applications, this paper extracted software gene from code fragment and resource fragment. Therein, the code fragment gene was a kind of formalization of use-def chains. Moreover, this paper proposed a detecting framework and a classifying framework based on malware gene. And it utilized support vector machine(SVM) to learn a machine learning method in the frameworks. In evaluation, the detecting rate and classification correct rate are both high in those frameworks, with a recall rate of 98.37%. It proves the effect of malware gene in analyzing the homology of Android malicious code.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0007
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Technology of Information Security
Pages: 1813-1818
Serial Number: 1001-3695(2019)06-044-1813-06

Publish History

[2019-06-05] Printed Article

Cite This Article

韩金, 单征, 赵炳麟, 等. 基于软件基因的Android恶意软件检测与分类 [J]. 计算机应用研究, 2019, 36 (6): 1813-1818. (Han Jin, Shan Zheng, Zhao Binglin, et al. Detection and classification of Android malware based on software gene [J]. Application Research of Computers, 2019, 36 (6): 1813-1818. )

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)