Malicious software detection in operating system (OS) for mobile devices (the case of Android OS)

被引：0

作者：

Zhernakov, S. V. ^{[1
]}

Gavrilov, G. N. ^{[1
]}

机构：

[1] USATU, Ufa, Russia

来源：

2016 13TH INTERNATIONAL SCIENTIFIC-TECHNICAL CONFERENCE ON ACTUAL PROBLEMS OF ELECTRONIC INSTRUMENT ENGINEERING (APEIE), VOL 2 | 2016年

关键词：

Android; malicious software; neural network; support vector machines; fuzzy logic; method; operating system;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Analysis of the OS security for mobile devices (thec ase of Android OS) and formalizing the samples of malicious software were carried out in the paper. Based on received data an experimental sample describing behavior of malicious software was suggested and the choice of the best method of classification of the present [experimental] sample though experiments employing classical, neural network classification method, and also support vector machines was made. Desired goalin improving the effectiveness of malicious software detection was achieved through development of a method based on support vector machines and fuzzy logic. The present method was accomplished by means of research prototype of malicious software detection system.

引用

页码：163 / 165

页数：3