Vatshayan/Android-Malware-Detection-Using-Machine-Learning
Android Malware Detection Using Machine Learning Project with Source Code and Documents Plus Video Explanation
This project helps security analysts and mobile device managers identify potentially harmful applications installed on Android devices. By analyzing data from Android applications, it uses machine learning to classify them as either safe or malicious. The output is a clear indication of whether an app poses a threat, enabling timely uninstallation.
No commits in the last 6 months.
Use this if you need to scan installed Android applications to detect and prevent malware from compromising user devices or data.
Not ideal if you need a real-time, zero-day threat detection system that can block new, unknown malware without prior training.
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Jupyter Notebook
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Last pushed
Dec 25, 2022
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