CIC-IoT-2023

The 'CIC-IoT-2023' dataset is a unified multi-modal network intrusion detection dataset that includes flow-level data, packet payload information, and temporal contextual features, used to evaluate machine learning algorithms for detecting network attacks.

Papers using CIC-IoT-2023 (3)

A Sample-Based, Multistage Machine Learning Pipeline for Scalable IoT Threat Detection2026 · 2 citesCategorical Robustness Assessment for Machine Learning based Network Intrusion Detection Systems2026Machine Learning For Network Attacks Classification And Statistical Evaluation Of Adversarial Learning Methodologies For Synthetic Data Generation2026