lucadibello/network-attack-detection

Advanced detection of port scanning, DoS and malware attacks using Machine Learning techniques

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Experimental

This project helps network security professionals and system administrators detect advanced network threats. It takes raw network traffic data in Netflow V9 format and classifies it to identify port scanning, Denial of Service (DoS), and malware attacks. The output is a clear indication of the attack type, allowing for proactive security measures.

No commits in the last 6 months.

Use this if you need to automatically identify sophisticated cyber attacks within your network traffic using established machine learning methods.

Not ideal if you need real-time, ultra-low-latency detection for operational systems, as this project is structured for batch analysis and model development rather than live deployment.

network-security cyber-threat-detection intrusion-detection network-monitoring IT-security

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 5 / 25

Maturity 8 / 25

Community 14 / 25

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