Vatshayan/Network-Intrusion-Detection-Project
Network Intrusion Detection System Project using Machine Learning with code and Documents
This project helps network security professionals predict and identify unusual activities or attacks within their network traffic. By analyzing network data, it classifies connections as either normal or anomalous, helping to flag potential intrusions. It's designed for security analysts, network administrators, and IT managers responsible for maintaining network integrity and preventing cyber threats.
105 stars. No commits in the last 6 months.
Use this if you need to automatically detect and flag anomalies and attacks within your network traffic.
Not ideal if you're looking for a production-ready, enterprise-grade intrusion detection system without further development and integration.
Stars
105
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 12, 2022
Commits (30d)
0
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