oliviagallucci/ids-aiml

🕵️ IDS with accuracy rates of 94.4% for misuse detection and 99.0% for anomaly detection

/ 100

Experimental

This system helps network security professionals automatically detect suspicious activity and cyberattacks on their networks. By analyzing network traffic data, it can identify known attack patterns (misuse detection) and unusual behaviors (anomaly detection) that might indicate a new threat. Network engineers and security analysts would use this to improve their network's defense against intrusions.

No commits in the last 6 months.

Use this if you need to set up or enhance an intrusion detection system for your network, capable of identifying both common and novel attack types.

Not ideal if you are looking for a fully-packaged, ready-to-deploy commercial IDS solution without any manual configuration or data preparation.

network-security cybersecurity-operations threat-detection network-monitoring incident-response

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 6 / 25

Maturity 16 / 25

Community 5 / 25

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Language

Python

License

MIT

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