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android-malware-analysis

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Android-Malware-Detection-Using-Machine-Learning

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.

  • Updated Feb 9, 2025
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