Skip to main content
University of New Brunswick (CIC)

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

IoT Security & Intrusion Detection IoT Security
512 views
1 min read
License
Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"A comprehensive and realistic IoT dataset generated by the Canadian Institute for Cybersecurity (CIC) for profiling, detecting, and characterizing multi-vector IoT attacks in a real network topology."

Catalog Notes

The CICIoT2023 dataset was developed to address the critical need for large-scale, updated IoT security benchmarks. It includes 33 different types of attacks, such as DDoS, DoS, Reconnaissance, Web-based attacks, Brute Force, Spoofing, and Mirai. The data was captured from a physical lab setup consisting of 105 IoT devices, providing both raw PCAP files and processed CSV files with 46 features. This dataset is ideal for training machine learning models for real-time Intrusion Detection Systems (IDS).

View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on University of New Brunswick (CIC).

Preview on University of New Brunswick (CIC)

Cite This Dataset

The dataset creators ask users of this dataset to cite the accompanying paper. Use one of the verified formats below. 

Neto, E. C. P., Dadkhah, S., Ferreira, R., Zohourian, A., Lu, R., & Ghorbani, A. A. (2023). CICIoT2023: A real-time dataset and benchmark for large-scale attacks in IoT environment. Sensors. https://www.unb.ca/cic/datasets/iotdataset-2023.html

Source metadata: MDPI (2023)

Indexed by IoTDataset.com on Feb 12, 2026

Review the Source Record

Confirm the licence, version, access conditions, file format, and provenance at the source before use.

Open Source Page

Related Topics & Keywords

#IoT #Cybersecurity #Intrusion Detection #Machine Learning #Network Traffic Analysis #DDoS Attacks
Browse all IoT Security & Intrusion Detection datasets

Share This Research

More in IoT Security & Intrusion Detection

View All
Network Security University

MQTT-IoT-IDS2020 — MQTT Internet of Things IDS Dataset

MQTT IoT IDS dataset from a simulated network with 12 sensors, broker, camera, and attacker. PCAP and CSV features support MQTT intrusion detection research.

Jun 02, 2026
Cybersecurity University

MedBIoT — Medium-Sized IoT Botnet IDS Dataset [83 devices]

IoT botnet IDS dataset using 83 real and emulated devices with Mirai, BashLite, and Torii traffic. Raw PCAP files support botnet and anomaly detection research.

Jun 02, 2026
Network Security Zenodo

IoT Emulated ICMP/Ping Dataset — Normal and Malicious Traffic [3.2 GB PCAP]

IoT IDS dataset for distinguishing normal and malicious ICMP/Ping traffic generated from an ESP-01s embedded device. PCAP, Zeek logs, and labelled CSV files.

Jun 02, 2026
Cybersecurity Kaggle

RT-IoT2022 - Real-Time IoT Infrastructure Intrusion Detection

A comprehensive dataset derived from real-time IoT infrastructure, designed for intrusion detection research and network security analysis.

Feb 19, 2026
Cybersecurity Kaggle

TON_IoT Network Dataset - UNSW Cyber Range Lab Collection

Comprehensive network traffic dataset from UNSW Canberra Cyber Range Lab capturing benign and malicious flows in simulated IoT/IIoT smart environments using Argus and Zeek (Bro) tools.

Jan 22, 2026
Educational IoT / Network Security Kaggle

IoEd-Net: Internet of Educational Things Dataset for Academic Network Analysis

Comprehensive dataset from University of New Brunswick containing over 202,085 network traffic records from IoT devices in academic environment, with classification of benign and malicious activities.

Jan 16, 2026

Explore other topics

All topics →
Healthcare & Medical IoT 31 Smart Agriculture 21 Smart City & Urban Sensing 59 Smart Home & Buildings 79 Industrial IoT & Predictive Maintenance 48 Energy & Smart Grid 14 Environment & Air Quality 19 Wearables & Human Activity 7 Connected Vehicles 7 Sensor Networks & Telemetry 14