Sameer411/Malware-Detection-Using-Machine-Learning
Malware Detection Using Machine Learning Bertelsmann Project Repo
This project helps cybersecurity analysts and IT security professionals automatically identify malicious software on Windows systems. By analyzing characteristics of executable files, it determines if a file is benign or malware, significantly speeding up the detection process compared to manual methods. It takes in PE (Portable Executable) file features and outputs a classification of 'malware' or 'benign'.
No commits in the last 6 months.
Use this if you need a rapid, automated way to classify unknown executable files as either safe or malicious to protect your systems.
Not ideal if you require an in-depth, behavioral analysis of advanced persistent threats or zero-day exploits.
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9
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 31, 2021
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