Runtime-based Behavior Dynamic Analysis System for Android Malware Detection
Luoxu Min, Qinghua Cao
Available Online May 2014.
- 10.2991/iccia.2012.57How to use a DOI?
- Android Security, Dynamic Detection, Android, malwares
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.
- © 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/).
Cite this article
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 -