GitHub - ShashankB2103/Analyzing-Android-Malware-dataset: 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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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.

www.kaggle.com/code/shashankbasavaraju21/notebookc3fe267e96

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Analysing Android Malware Dataset.pdf		Analysing Android Malware Dataset.pdf
Analysing Android Malware dataset using deep learning models.ipynb		Analysing Android Malware dataset using deep learning models.ipynb