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Malware Detection and Classification Using Machine Learning

Anomaly based Malware Detection using Machine Learning (PE and URL)

A simple antivirus coded in python capable of scanning selected files and deleting files that it detects as infected. This antivirus uses a large list of MD5, SHA1 and SHA256 malware hashes (many of which coming from this repo - https://github.com/Len-Stevens/MD5-Malware-Hashes) to determine infe... Read more

Malware detection project on Android devices using machine learning classification algorithms.

Multi-class malware classification using Deep Learning

Android Malware Detection Using Machine Learning Project with Source Code and Documents Plus Video Explanation

Android Malware Detection Using Machine Learning Classifiers ( Using Permissions requested by Apps)

Malware🦠 Detection and Analysis using Machine Learning (MDAML) is designed to provide users with an intuitive interface for analyzing and detecting malware in various file formats.

Detection of IoT devices infected by malwares from their network communications, using federated machine learning

Detecting Malware in PE files