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DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection
Android malware has continued to grow in volume and complexity posing significant threats to the security of mobile devices and the services they enable. This has prompted increasing interest in employing machine learning ...
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 ...
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 ...