CICIoT2023: Large-Scale IoT Attack Traffic Dataset
Abstract
"CICIoT2023 is a large-scale, flow-based network traffic dataset capturing real-time benign and malicious communications in an IoT environment composed of 105 physical devices. The dataset captures traffic traces for 33 attack scenarios grouped into seven categories: DDoS, DoS, Reconnaissance, web-based attacks, brute-force attempts, spoofing, and Mirai malware."
Description
Overview
CICIoT2023 is a real-time IoT network traffic dataset created to foster the development and evaluation of security analytics applications in realistic IoT environments. It was collected in the Canadian Institute for Cybersecurity (CIC) IoT Lab.
Technical Details
The dataset consists of preprocessed flow-based CSV files derived from raw packet captures. It includes 33 distinct attacks grouped into seven categories (DDoS, DoS, Recon, Web-based, brute force, spoofing, and Mirai).
Collection Setup
The traffic was recorded in an extensive IoT topology composed of 105 real IoT and network devices deployed in a dedicated testbed that emulates operational IoT environments.
Recommended Research Tasks
This dataset is well suited for building and benchmarking intrusion detection systems, evaluating attack classification models, and performing feature selection or representation learning for IoT security.
Access & License
The dataset and related documentation are available from the official CIC IoT dataset page at the University of New Brunswick. Access CICIoT2023
📊 View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on CIC Repository.
Preview on CIC Repository
Cite This Dataset
Neto, E. C. P., Dadkhah, S., Ferreira, R., Zohourian, A., Lu, R., & Ghorbani, A. A. (2023). CICIoT2023: Large-Scale IoT Attack Traffic Dataset. Sensors. [Dataset]. CIC Repository. https://www.unb.ca/cic/datasets/iotdataset-2023.html
Select your preferred citation style above. The citation will automatically update and you can copy it to your clipboard.
Original source: CIC Repository (2023). Visit official page for more details.
Indexed by IoTDataset.com on Feb 05, 2026
Ready to Start Your Research?
Download this dataset directly from the official repository and start building your next breakthrough project.