Mobile Malware Security Challeges and Cloud-Based Detection

被引:0
作者
Penning, Nicholas [1 ]
Hoffman, Michael [1 ]
Nikolai, Jason [1 ]
Wang, Yong [1 ]
机构
[1] Dakota State Univ, Coll Business & Informat Syst, Madison, SD 57042 USA
来源
PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON COLLABORATION TECHNOLOGIES AND SYSTEMS (CTS) | 2014年
关键词
mobile; malware; security; detection; cloud; Android;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile malware has gained significant ground since the dawning of smartphones and handheld devices. TrendLabs estimated that there were 718,000 malicious and high risk Android apps in the second quarter of 2013. Mobile malware malicious infections arise through various techniques such as installing repackaged legitimate apps with malware, updating current apps that piggy back malicious variants, or even a drive-by download. The infections themselves will perform at least one or multiple of the following techniques, privilege escalation, remote control, financial charge, and information collection, etc. This paper summarizes mobile malware threats and attacks, cybercriminal motivations behind malware, existing prevention methods and their limitations, and challenges encountered when preventing malware on mobile devices. The paper further proposes a cloud-based framework for mobile malware detection. The proposed framework requires a collaboration among mobile subscribers, app stores, and IT security professionals. The cloud-based malware detection is a promising approach towards mobile security.
引用
收藏
页码:181 / 188
页数:8
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