DeepMetaDroid: Real-Time Android Malware Detection Using Deep Learning and Metadata Features
Hashida Haidros Rahima Manzil,
Manohar Naik S
Abstract:The increasing prevalence of Android malware poses significant risks to mobile devices and user privacy. The traditional detection methods have limitations in keeping up with the evolving landscape of malware attacks, necessitating the development of more effective solutions. In this paper, we present DeepMetaDroid, a real-time detection approach for Android malware that leverages metadata features. By analyzing crucial metadata, including APK size, download size, permissions, certificates, and DEX files, the … Show more
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