CIC IoMT Dataset 2024: Internet of Medical Things
Catalog Summary
"Realistic benchmark dataset for Internet of Medical Things (IoMT) security research. Captures biomedical sensor data and network traffic from medical devices including ECG monitors, pulse oximeters, and other healthcare IoT equipment."
Catalog Notes
Dataset Objective
The CIC IoMT dataset provides comprehensive data for developing and evaluating IoMT security solutions, focusing on identifying anomalies and attacks in medical device networks.
Included Data Types
- Biomedical Signals: ECG, pulse, SpO2, temperature from medical sensors
- Network Traffic: Packets from medical device communications
- Device Types: Cardiac monitors, infusion pumps, ventilators, patient monitors
- Attack Scenarios: Unauthorized access, data tampering, DoS attacks
Research Focus
Medical device security, IoMT anomaly detection, healthcare network monitoring, privacy-preserving analytics.
Data Preview
| Device_ID | Timestamp | Heart_Rate_bpm | SpO2_% | Temperature_C | Traffic_Type | Anomaly |
|---|---|---|---|---|---|---|
| ECG_001 | 2024-11-01 14:30 | 72 | 98 | 37.0 | Normal_Communication | No |
| Pump_002 | 2024-11-01 14:32 | N/A | N/A | 36.8 | Anomalous_Access | Yes |
| Monitor_003 | 2024-11-01 14:35 | 68 | 97 | 36.9 | Normal_Data_Stream | No |
Showing first few rows for preview
Provided Citation
Canadian Institute for Cybersecurity. (2024). CIC IoMT Dataset 2024. University of New Brunswick. Retrieved from https://www.unb.ca/cic/datasets/iomt-dataset-2024.html
This citation is displayed as supplied. Automatic style conversion is disabled because structured citation metadata is not recorded.
Source metadata: University (2026)
Indexed by IoTDataset.com on Jan 12, 2026
Review the Source Record
Confirm the licence, version, access conditions, file format, and provenance at the source before use.