Andrana: Quick and Accurate Malware Detection for Android

被引：3

作者：

Bedford, Andrew ^{[1
]}

Garvin, Sebastien ^{[1
]}

Desharnais, Josee ^{[1
]}

Tawbi, Nadia ^{[1
]}

Ajakan, Hana ^{[1
]}

Audet, Frederic ^{[2
]}

Lebel, Bernard ^{[2
]}

机构：

[1] Univ Laval, Quebec City, PQ, Canada

[2] Thales Res & Technol Canada, Quebec City, PQ, Canada

来源：

FOUNDATIONS AND PRACTICE OF SECURITY, FPS 2016 | 2017年 / 10128卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Malware detection; Android; Static analysis; Machine learning;

D O I：

10.1007/978-3-319-51966-1_2

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to protect Android users and their information, we have developed a lightweight malware detection tool for Android called ANDRANA. It leverages machine learning techniques and static analysis to determine, with an accuracy of 94.90%, if an application is malicious. Its analysis can be performed directly on a mobile device in less than a second and using only 12MB of memory.

引用

页码：20 / 35

页数：16

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