MU-IoT - Comprehensive IoT Network Intrusion Dataset 2024
Catalog Summary
"New realistic IoT network intrusion dataset (MU-IoT) with comprehensive attack scenarios for cybersecurity research. Published in IEEE 2024 with 4+ citations. Covers multiple IoT protocols and device types."
Catalog Notes
Introduction to MU-IoT Dataset
The MU-IoT dataset is a state-of-the-art cybersecurity resource published in IEEE 2024, specifically engineered to address gaps in existing IoT intrusion detection datasets. It provides realistic network traffic from diverse IoT devices under both normal operations and sophisticated attack scenarios.
Device Ecosystem
Traffic captured from diverse IoT device categories: smart home (IP cameras, smart locks, voice assistants, smart plugs), healthcare IoT (blood pressure monitors, glucose meters, pulse oximeters), wearables (fitness bands, smartwatches), environmental sensors (temperature/humidity, air quality monitors), industrial devices (PLCs, SCADA systems, industrial gateways), and network infrastructure (routers, switches, IoT hubs).
Protocol Coverage
Application layer protocols include MQTT, CoAP, HTTP/HTTPS, and AMQP. Network layer covers IPv4, IPv6, and 6LoWPAN. Link layer includes WiFi, Bluetooth LE, Zigbee, and Z-Wave. Cellular protocols include NB-IoT and LTE-M.
Attack Taxonomy
Includes network-layer attacks (DDoS, port scanning, spoofing), application-layer attacks (MQTT hijacking, CoAP exhaustion, HTTP exploits), IoT-specific attacks (firmware manipulation, replay attacks, sensor poisoning, botnet C&C traffic), and advanced persistent threats (multi-stage attacks, lateral movement, data exfiltration). Features precise binary and multi-class labels, temporal annotations, device-level labels, and manual verification by security experts.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Research Paper.
Preview on Research PaperCite This Dataset
Clinton, U. B., & others (2024). MU-IoT: A New IoT Intrusion Dataset for Network and Device Security. IEEE Conference Proceedings. [Dataset]. Research Paper. https://doi.org/10.1109/XXX.2024.10747334
Source metadata: Research Paper (2024) · DOI: 10.1109/XXX.2024.10747334
Indexed by IoTDataset.com on Jan 22, 2026
Review the Source Record
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