ZigBeeNet: Decrypted Zigbee IoT Network Traffic Dataset
Abstract
"ZigBeeNet is a novel smart home IoT dataset containing decrypted network traffic from 15 Zigbee devices, including smart lights and motion sensors, collected over a 20-day period. It provides rare access to decrypted payloads and network characteristics, making it ideal for researchers focused on traffic modeling, device behavior analysis, and the development of high-fidelity Zigbee traffic generators."
Description
Overview
ZigBeeNet provides a comprehensive look at decrypted network traffic within a real-world smart home environment. Unlike many encrypted datasets, this collection allows for deep packet inspection and detailed behavioral analysis of Zigbee-based IoT nodes.
What’s inside
- Data modalities: Decrypted network traffic, packet payloads, and device logs.
- Scale: 15 heterogeneous Zigbee devices (Hubs, Power Plugs, Smart Bulbs, Wall Switches, Motion Sensors).
- Metadata: Timestamps, device types, and network-layer characteristics.
Collection / Setup
- Collected from a live smart home testbed over 20 consecutive days.
- Environment involves 9 distinct physical devices categorized into 6 functional types.
Labels / Targets
- Device classification labels and functional event triggers (on/off, motion detected).
Recommended tasks
- Traffic pattern modeling
- IoT device fingerprinting
- Decentralized security analysis
- Network performance benchmarking
Limitations
- Limited to the Zigbee protocol only.
- Specific to a single residential environment layout.
Access & License
📊 View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.
Preview on Kaggle
Cite This Dataset
Keleşoğlu, Nur, & Sobczak, Łukasz (2024). ZigBeeNet: Decrypted Zigbee IoT Network Traffic Dataset. {Applied Sciences. [Dataset]. {MDPI. https://doi.org/10.3390/app142310844
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Original source: {MDPI (2024). Visit official page for more details.
Indexed by IoTDataset.com on Feb 05, 2026
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