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Improving Dynamic Analysis of Android Apps Using Hybrid Test Input Generation
The Android OS has become the most popular mobile operating system leading to a significant increase in the spread of Android malware. Consequently, several static and dynamic analysis systems have been developed to detect ...
Deep android malware detection
In this paper, we propose a novel android malware detection system that uses a deep convolutional neural network (CNN). Malware classification is performed based on static analysis of the raw opcode sequence from a ...
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning
The Android operating system has become the most popular operating system for smartphones and tablets leading to a rapid rise in malware. Sophisticated Android malware employ detection avoidance techniques in order to hide ...