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Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection

Abimbola Ganiyat Akintola, Abdullateef Balogun, Hammed Adeleke Mojeed, Fatima Usman-Hamza, Shakirat Aderonke Salihu, Kayode Sakariyau Adewole, Ghaniyyat Bolanale Balogun, Peter Ogirima Sadiku
2022 International Journal of Interactive Mobile Technologies  
Signature-based detection is the most widely used approach for detecting Android malware. This approach has the disadvantage of being unable to identify unknown malware.  ...  The experimented ML methods are tested using the Malgenome and Drebin Android malware datasets that contain features gathered from both static and dynamic malware approaches.  ...  Rahman and Saha [30] presented StackDroid-a 2-level architecture for detecting malware in Android devices based on stacked generalization to reduce the error rate.  ... 
doi:10.3991/ijim.v16i10.29687 doaj:340adb843bcc43c7b3019af495030858 fatcat:izpjn6xss5eyxkmvykcb2vitba