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UNSW‑NB15 is a comprehensive network intrusion detection system dataset for academic research. The dataset was compared statistically with the KDD99 dataset and was released by Nour Moustafa and Jill Slay; publications must be cited when using it.

The dataset comprises labeled network traffic data, encompassing various attacks (e.g., DoS, brute‑force, SQL injection, botnet) and normal traffic.

A machine‑learning project for network intrusion detection that uses a Convolutional Neural Network (CNN) for model training and evaluation.

The NSL‑KDD dataset is a benchmark for network intrusion detection, containing multiple attack types and normal traffic. It provides files in various formats, including ARFF and CSV, for training and testing.