Malware Detection of Apps using Deep Learning

The proliferation of mobile applications on Google Play has led to an increased risk of fraudulent and malicious apps that can compromise user security and privacy.This study presents a comprehensive approach to detecting fraud and malware in Google Play apps using machine learning (ML) and deep learning (DL) techniques.A Flask-based backend is developed to facilitate the upload, processing, and analysis of datasets containing app features and labels.The system utilizes Support Vector Machine (SVM) and Artificial Neural Network (ANN) models to classify apps as benign or malicious.Key stages include data preprocessing, dataset splitting, model training, and performance evaluation.The models' accuracies are compared, and results are visualized to demonstrate their effectiveness.