TryKatChup/ML-IOT-malware-analysis
Machine Learning models for IoT traffic malware detection. (Cybersecurity - Alma Mater Studiorum - University of Bologna)
This project helps cybersecurity professionals automatically identify malware within the network traffic of Internet of Things (IoT) devices. It takes raw IoT network data and uses machine learning models to detect malicious activity, providing insights into potential security threats. Network security analysts and incident responders would find this valuable for protecting their IoT ecosystems.
No commits in the last 6 months.
Use this if you need to analyze IoT network traffic for malware and want to leverage machine learning for automated detection.
Not ideal if you are looking for a plug-and-play commercial IoT security solution or deep-dive forensic tools.
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8
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 15, 2023
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