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Android Malware Detection Using Multi-Domain Feature Analysis And Deep Learning Models
We Propose A Hybrid And Intelligent Android Malware Detection Framework That Integrates Multi-domain Feature Extraction With Deep Learning Models To Improve Mobile Application Security. The System Consists Of Two Key Modules: The APK Securi...
Intelligent Malware Detection And Classification Using Correlation-based Feature Selection
Android Is The Most Popular Operating System For Smartphones And Small Devices With 86.6% Market Share. Its Open-source Nature Makes It More Prone To Attacks Creating A Need For Malware Analysis. Main Approaches For Detecting Malware Intent...
SURVEY ON ANDROID APPLICATION’S PERMISSIONS AND USER’S DATA PROTECTION
Most Existing Mobile Malware Detection Methods (e.g., Kirin And Droid-Mat) Are Designed Based On The Resources Required By Malwares (e.g., Permissions, Application Programming Interface (API) Calls, And System Calls). Existing Malware Detec...