Technology of Information Security
|
3058-3062

Android malware detection method based on meta-information

Li Jianghua
Qiu Chen
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China

Abstract

Many Android applications have more functions than their types, and they need to acquire more permissions. Excessive permissions may bring some security risks. To address these issues, this paper proposed an Android malware detection method based on meta information. First, it extracted the LDA theme through the description of Android application, implemented the data dimensionality reduction, and grouped applications by the functional type used the K-means clustering algorithm. Then, for all applications belonging to the same functional type, it extracted their permission information, and took the permission features as the research object, used KNN algorithm to classify and detect the malicious software of Android. The experimental results obtain the average accuracy of 94.81% and prove the validity and high accuracy of the method.

Foundation Support

国家自然科学基金资助项目(61463021,61762046)
江西省教育厅科技项目(GJJ160599,GJJ170516)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0312
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Information Security
Pages: 3058-3062
Serial Number: 1001-3695(2019)10-039-3058-05

Publish History

[2019-10-05] Printed Article

Cite This Article

李江华, 邱晨. 一种基于元信息的Android恶意软件检测方法 [J]. 计算机应用研究, 2019, 36 (10): 3058-3062. (Li Jianghua, Qiu Chen. Android malware detection method based on meta-information [J]. Application Research of Computers, 2019, 36 (10): 3058-3062. )

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.

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