CIC IoMT Dataset 2024: Internet of Medical Things
Abstract
"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."
Description
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
Cite This Dataset
University (2026). CIC IoMT Dataset 2024: Internet of Medical Things. [Dataset]. University. https://www.unb.ca/cic/datasets/iomt-dataset-2024.html
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Original source: University (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 12, 2026
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