CIC IoMT 2024: Medical IoT Security Dataset

Dataset Significance

First comprehensive benchmark dataset specifically designed for IoMT security solutions. Addresses critical gap in healthcare cybersecurity by providing realistic attack scenarios on medical IoT devices.

Device Coverage

• Total Devices: 40 different IoMT devices
• Device Types: Patient monitors, infusion pumps, ventilators, glucose meters, ECG devices
• Protocols: Multiple healthcare communication standards (HL7, DICOM, MQTT, etc.)

Attack Scenarios

• Attack Types: 18 different cyberattack categories
• Attack Examples: DDoS, man-in-the-middle, data injection, ransomware, device hijacking
• Normal Traffic: Baseline operational data for comparison

Network Data

• Traffic Captures: Network packet captures (PCAP files)
• Flow Features: Extracted network flow statistics
• Labels: Attack type classification and timestamps
• Multi-Protocol: Diverse communication patterns across medical standards

Research Applications

Intrusion detection system development for healthcare, IoMT security vulnerability assessment, machine learning-based attack classification, healthcare network defense strategies, and medical device security evaluation.