Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2469-2472

Android malicious application detection method based on statistical features

Leng Boa
Li Jianbinb
a. School of Information Science & Engineering, b. Information Security & Big Data Research Institute, Central South University, Changsha 410083, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0173

Abstract

Aiming at the problem of ignoring the statistical significance of features in detection of Android malicious applications, this paper proposed an Android malicious application detection method based on statistical features. This method extracted the statistical characteristics of the training data set and used a clustering algorithm to preprocess the malicious data set for reducing the impact of individual differences on the experimental results. On the other hand, this method combined the features and various machine learning algorithms(such as linear regression, neural network, etc. ) to establish a detection model. The accuracy rate of the two models established by this method could reach more than 95%, and the detection time could be greatly reduced compared with the comparison experiment. Experimental results show that the statistical characteristics of the application can be used to distinguish between benign and malicious applications, and preprocessing the data by clustering algorithm can improve the detection accuracy.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0173
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Software Technology Research
Pages: 2469-2472
Serial Number: 1001-3695(2019)08-048-2469-04

Publish History

[2019-08-05] Printed Article

Cite This Article

冷波, 李建彬. 基于统计学特征的Android恶意应用检测方法 [J]. 计算机应用研究, 2019, 36 (8): 2469-2472. (Leng Bo, Li Jianbin. Android malicious application detection method based on statistical features [J]. Application Research of Computers, 2019, 36 (8): 2469-2472. )

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  • Application Research of Computers Monthly Journal
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    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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