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GitHub / DuseTrive / Anomaly-Based-NID-using-svm

This project uses SVM and AI to create an efficient tool for detecting network anomalies and securing critical network infrastructures.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DuseTrive%2FAnomaly-Based-NID-using-svm

Stars: 1
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 1.26 MB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: about 2 years ago

Topics: anomaly-detection, artificial-intelligence, ddos-detection-ml, jupyter-notebook, matplotlib, netwrok-intrusion-detection, pandas-library, python, seaborn, sklearn-library, svm-model

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