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Conference Paper
Analysis of Mobile Malware based on User Awareness
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- Authors
- Youngho Kim, Bill Stackpole, Tae Oh
- Issue Date
- 2014-10
- Citation
- Conference on Research in Information Technology (RIIT) 2014, pp.51-51
- Language
- English
- Type
- Conference Paper
- Abstract
- The number of mobile device malware has been increasing drastically last several years. When attempting to detect malware within a device, it is difficult to draw a clear line between malicious and normal activities. Even useful applications naturally result in data transfer from a mobile device to a remote server and a malware detection mechanism based solely on information flow might consider this as data leakage. Therefore one should also consider the surrounding context of an application to make a better decision on whether it is malicious or not. In this current research, a dynamic analysis approach is taken which monitors and measures the runtime behavior and logs from the mobile application. In particular, a concept of user awareness (UA) is proposed which represents a degree of intent with which an application tries to hide its activities from a user. This extended analysis measurement, combined with dataflow-based analysis, will help make a more accurate decision with less false positives.
- KSP Keywords
- Current research, Data Leakage, Data transfer, Dynamic analysis, False positive, Malware detection, Mobile Application(APP), Mobile devices, Mobile malware, Remote server, detect malware