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.
☆54Apr 8, 2026Updated 3 weeks ago
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