Abstract
"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."
Description
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 Kaggle
Cite This Dataset
Suraj Sooraj (2024). IoT-23 Network Traffic Dataset - Full Collection. [Dataset]. Kaggle. https://www.kaggle.com/datasets/surajsooraj26/iot-23
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Original source: Kaggle (2024). Visit official page for more details.
Indexed by IoTDataset.com on Jan 21, 2026
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