ScanMe Mobile: A Cloud-based Android Malware Analysis Service

被引:14
|
作者
Zhang, Hanlin [1 ]
Cole, Yevgeniy [2 ]
Ge, Linqiang [1 ]
Wei, Sixiao [3 ]
Yu, Wei [1 ]
Lu, Chao [4 ]
Chen, Genshe [3 ]
Shen, Dan [3 ]
Blasch, Erik [5 ]
Pham, Khanh D. [6 ]
机构
[1] Towson Univ, Dept Comp & Informat Sci, 7800 York Rd, Towson, MD 21252 USA
[2] Towson Univ, 7800 York Rd, Towson, MD 21252 USA
[3] Intelligent Fus Technol, 20271 Goldenrod Ln, Germantown, MD USA
[4] Towson Univ, Comp Sci, 7800 York Rd, Towson, MD USA
[5] Air Force Res Lab, Wright Patterson AFB, OH USA
[6] Air Force Res Lab, Space Vehicles Directorate, Wright Patterson AFB, OH USA
来源
APPLIED COMPUTING REVIEW | 2016年 / 16卷 / 01期
关键词
Android Malware; Google Cloud Messaging; Machine Learning; Sandbox; Google App Engine;
D O I
10.1145/2924715.2924719
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As mobile malware have increased in number and sophistication, it has become pertinent for users to have tools that can inform them of potentially malicious applications. To fulfill this need, we develop a cloud-based malware analysis service called ScanMe Mobile, for the Android platform. The objective of this service is to provide users with detailed information about Android Application Package (APK) files before installing them on their devices. With ScanMe Mobile, users are able to upload APK files from their device SD card, scan the APK in the malware detection system that could be deployed in the cloud, compile a comprehensive report, and store or share the report by publishing it to the website. ScanMe Mobile works by running the APK in a virtual sandbox to generate permission data, and analyzes the result in the machine learning detection system. Through our experimental results, we demonstrate that the proposed system can effectively detect malware on the Android platform.
引用
收藏
页码:36 / 49
页数:14
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