Malware Detection in Android Applications Using Machine Learning

Abstract

Android is a widely used smartphone operating system. Because of its open-source architecture, it is becoming increasingly important in our lives. Android applications are now commonly used in several devices like smartphones, smart tv, etc. Due to many different applications and fundamental features, users often trust Android to protect data. However, research has shown that Android is prone to security issues such as malware. Android malware detection is a hot research topic and requires immediate attention and resolution. This research examines the numerous factors of the Android Application Package (APK) and presents a machine learning-based model for detecting malware in Android applications. Experimental analysis of the proposed model using a standard dataset shows that it can be a viable solution in the future. © 2023 IEEE.