RT-IoT2022: Real-Time IoT Intrusion Detection Dataset
Abstract
"123,117 network flow records with 83 features from real IoT devices (MQTT, ThingSpeak, Wipro) including DDoS, SSH brute-force, and Nmap attacks for IDS model training."
Description
Dataset Overview
Comprehensive network traffic capture from real IoT devices with 9 attack types and 4 normal patterns. Published by National Institute of Engineering.
Data Preview
| id.orig_p | id.resp_p | proto | flow_duration | fwd_pkts_tot | Attack_type |
|---|---|---|---|---|---|
| 45230 | 1883 | TCP | 2450 | 14 | MQTT |
| 52341 | 22 | TCP | 8900 | 256 | SSH_Brute_Force |
Showing first few rows for preview
Cite This Dataset
University (2026). RT-IoT2022: Real-Time IoT Intrusion Detection Dataset. [Dataset]. University. https://archive.ics.uci.edu/dataset/942/rt-iot2022
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Original source: University (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 12, 2026
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