CatOn60Hz / Real-time-Network-Traffic-Classifier-IDSView on GitHub
This project develops and deploys a robust, multi-class Network Intrusion Detection System (IDS) capable of identifying various attack types and normal network traffic. Leveraging a 1D Convolutional Neural Network (CNN) architecture, the system is trained on the comprehensive UNSW-NB15 dataset, which features a wide range of modern attacks.
52Mar 31, 2026Updated last week

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