M-Mowina/Netflow-attack-detector-classifier
A machine learning project for anomaly detection and attack classification using the NF-CSE-CIC-IDS2018-v2 dataset, which contains over 18 million NetFlow records with 43 flow features. The project builds and evaluates models to identify and classify network intrusions from benign traffic.
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