IoT-23 Network Traffic Dataset - Full Collection
Catalog Summary
"Large-scale labeled network traffic captures (PCAPs) from IoT devices. Based on Stratosphere Laboratory's famous IoT-23 dataset with botnet and normal traffic patterns."
Catalog Notes
Overview
The IoT-23 dataset is one of the most comprehensive IoT network security datasets available. It contains labeled network traffic from real IoT devices including both benign and malicious (botnet) behaviors.
Key Features
- Real IoT device traffic captures
- 20+ IoT devices monitored
- Multiple attack scenarios
- PCAP and NetFlow formats
- Labeled malicious vs benign traffic
Use Cases
Perfect for intrusion detection systems (IDS), network anomaly detection, botnet analysis, and IoT security research.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.
Preview on KaggleCite This Dataset
Suraj Sooraj (2024). IoT-23 Full Dataset. [Dataset]. Kaggle. https://www.kaggle.com/datasets/surajsooraj26/iot-23
Source metadata: Kaggle (2024)
Indexed by IoTDataset.com on Jan 21, 2026
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