emr4h/Malware-Detection-Using-Machine-Learning
This project analyzes PE information of exe files to detect malware. In this repository you will learn how to create your own dataset and will be able to see the use of machine learning models using the dataset. We will use machine learning for detect malware.
This helps cybersecurity analysts or IT professionals quickly identify potentially malicious executable files. By analyzing key characteristics of a program's structure (PE information), it takes an executable file as input and outputs a classification indicating whether it's likely safe or malware. This project is ideal for those who need to assess the threat level of new or suspicious software.
No commits in the last 6 months.
Use this if you need a machine learning-based tool to automatically classify Windows executable files as either legitimate or malicious.
Not ideal if you need to detect malware in other file types (e.g., documents, scripts) or require deep behavioral analysis beyond static PE information.
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13
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5
Language
Jupyter Notebook
License
MIT
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Last pushed
May 11, 2022
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