RT-IoT2022 - Real-Time IoT Network Security Dataset
Abstract
"Comprehensive real-time IoT infrastructure dataset from UCI. Captures bidirectional network traffic using Zeek monitoring tool. Ideal for IDS development."
Description
About RT-IoT2022
The RT-IoT2022 dataset is a proprietary collection from a real-time IoT infrastructure, officially hosted by UCI Machine Learning Repository.
Technical Details
- Data Type: Tabular, Sequential, Multivariate
- Monitoring Tool: Zeek network monitoring + Flowmeter plugin
- Traffic: Bidirectional network flows
- Device Diversity: Multiple IoT device types
- Tasks: Classification, Regression, Clustering
Use Cases
Specifically designed for advancing Intrusion Detection Systems (IDS) with real-time capabilities. Supports development of adaptive security solutions for production IoT networks.
Official Repository
Maintained by UCI Machine Learning Repository since January 2024.
📊 View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on University.
Preview on University
Cite This Dataset
University (2024). RT-IoT2022 - Real-Time IoT Network Security Dataset. [Dataset]. University. https://archive.ics.uci.edu/dataset/942/rt-iot2022
Select your preferred citation style above. The citation will automatically update and you can copy it to your clipboard.
Original source: University (2024). Visit official page for more details.
Indexed by IoTDataset.com on Jan 21, 2026
Ready to Start Your Research?
Download this dataset directly from the official repository and start building your next breakthrough project.