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RT-IoT2022: Real-Time IoT Intrusion Detection Dataset

Name: RT-IoT2022: Real-Time IoT Intrusion Detection Dataset
Creator: University
Published: 2026-01-12T01:37:22+00:00
License: https://creativecommons.org/licenses/by/4.0/
Keywords: intrusion detection, iot security, network traffic, anomaly detection, dos attack

Cybersecurity

Jan 12, 2026

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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

Source: University (2026)

Indexed by IoTDataset.com on Jan 12, 2026

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