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RT-IoT2022 - Real-Time IoT Network Security Dataset

IoT Security & Intrusion Detection Network Security
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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

"Comprehensive real-time IoT infrastructure dataset from UCI. Captures bidirectional network traffic using Zeek monitoring tool. Ideal for IDS development."

Catalog Notes

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 Dataset. [Dataset]. University. https://archive.ics.uci.edu/dataset/942/rt-iot2022

Source metadata: University (2024)

Indexed by IoTDataset.com on Jan 21, 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

#real-time #intrusion detection #Zeek #network monitoring #IDS #UCI #bidirectional traffic
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