Denial Of Service Attack on Internet of Medical Things Network Dataset

This dataset provides raw network traffic captures in .pcap (packet capture) format for analyzing and detecting Denial of Service (DoS) attacks in Internet of Medical Things (IoMT) environments. It simulates both normal and malicious network activity involving commonly used medical IoT devices and DoS attack scenarios. Attack Types Included: SYN Flood ICMP Flood Xmas Flood Normal Traffic:Normal traffic includes encrypted sensor data from the following IoMT devices: AD8232 – Electrocardiogram (ECG) sensor MAX30102 – Heart rate and SpO₂ (oxygen saturation) sensor DHT11 and DHT22 – Temperature and humidity sensors To emulate realistic and privacy-preserving communication in medical networks, all sensor data transmissions are encrypted using 64-bit AES (Advanced Encryption Standard). This dataset is intended for use in research and development of machine learning models, deep packet inspection tools, and advanced intrusion detection systems, especially in encrypted and resource-constrained IoMT environments.