Papers, code and datasets about deep learning for Android malware defenses and malware detection
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Updated
Nov 21, 2023
Papers, code and datasets about deep learning for Android malware defenses and malware detection
extract info from apk files
Android Malware Detection Using Machine Learning Project with Source Code and Documents Plus Video Explanation
Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
A Federated Learning based Android Malware Classification System
Live malware samples and database, daily update.
🐰 [HaHacking: Notes] Android Malware Analysis
단국대학교 SW보안개론 과제
Dissertation
Adversarial Techniques and Procedure Detection for Android Applications through Dynamic Analysis
This project utilizes LSTM and GRU deep learning models to detect Android malware based on app behavior and network activity. Using a Kaggle dataset, the models achieved a 0.9927 F1-score, outperforming traditional classifiers, making them ideal for real-time malware detection in cybersecurity applications.
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