mirzaakhi/UL-ECE-MultiAttack-H-IoT2025-Dataset-Preprocessing: UL-ECE-MultiAttack-H-IoT2025 Dataset Preprocessing v1.0.1

Updated release of the UL-ECE-MultiAttack-H-IoT2025 dataset, including preprocessing scripts, raw data, and processed data files. This dataset enables research on intrusion and anomaly detection and the mitigation of diverse attacks, including Selective Forwarding, Man-in-the-Middle (MITM), and DDoS in Healthcare-IoT (H-IoT) environments. It is generated from wearable sensor data such as body temperature, oxygen level, and heart rate using the Cooja simulator within a unified H-IoT topology to create a realistic multi-attack model. This release contains the raw data and preprocessing pipeline for a multiclass dataset, including: • data/ (CSV and raw TXT files)• scripts/preprocess_ul_ece_multiattack_h_iot2025.py• requirements.txt for dependencies