ملخص الدراسة:

Many researches were done to find creative techniques, for Android platform, that can detect malware in easy and reliable manner. The aim is not only the effectiveness but to have less processing time, and less resources consumption. This research provide a solution for a part of this problem by finding an easy and fast way to analyze static application code and to generate its figure-print or signature to be used later in similarity measurement with available database of malwares signatures. We proposed a new method depends on SimHash algorithm which generate signature for reverse code from .apk android package kit. We compare the proposed algorithm with an existing Androguard tool, which also analyze static code and generate signatures using reverse engineering. We found that the proposed method saves 70% of time with similar results and time distribution behavior in comparison with Androguard.

توثيق المرجعي (APA)

Abu Samra, Aiman A., Qunoo, Hasan N.,& Z.alkurdi, Mahmoud (2016). Malware Detection for Android Operating Systems Applications. INTERNATIONAL CONFERENCE ON SMART CITIES SOLUTIONS, The Islamic University of GAZA. 28272