| Abstract |
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Abnormal application behavior in mobile can produce a number of undesirable effects. An incorrect or insufficient implementation of application lifecycle, memory related issues and malicious application might cause an unexpected behavior of the application such as bad usability, not responding, crashed and even data loss. Current analysis and detection of abnormal applications behavior are still not comprehensive enough where behavior under user visible failure category such as crash, “stopped unexpectedly” and “not responding” received less attention by researchers. Furthermore, framework of analysis technique has not been developed by researcher to investigate the abnormal behavior in mobile application. Thus, this research will introduce the framework of analysis technique for abnormal behavior in mobile application. In this paper, both static and dynamic analysis techniques are described and applied to Android applications to identify causes of abnormal behavior. These allow the identification of android abnormal application behavior into “behavior groups”, which consists certain behavior that tends to have similar generalized activity profiles. |
