Runtime-based Behavior Dynamic Analysis System for Android Malware Detection

DOI

10.2991/iccia.2012.57How to use a DOI?

Keywords

Android Security, Dynamic Detection, Android, malwares

Abstract

The most serious threats for Android users is come from application, However, the market lack a mechanism to validate whether these applications are malware or not. So, malware maybe leak user’s private information, malicious deductions for send premium SMS, get root privilege of the Android system and so on. In the traditional method of malware detection, signature is the only basis. It is far enough. In this paper, we propose a runtime-based behavior dynamic analysis for Android malware detection. The new scheme can be implemented as a system. We analyze 350 applications come from third-party Android market, the result show that our system can effectively detect unknown malware and the malicious behavior of malware.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Luoxu Min
AU  - Qinghua Cao
PY  - 2014/05
DA  - 2014/05
TI  - Runtime-based Behavior Dynamic Analysis System for Android Malware Detection
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 233
EP  - 236
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.57
DO  - 10.2991/iccia.2012.57
ID  - Min2014/05
ER  -