Transparent Cyber-Threat Detection Dataset for Microgrid Networks

# Transparent Cyber-Threat Detection Dataset for Microgrid Networks This dataset provides synthetic and attacked microgrid operational data for research in AI-based cybersecurity and explainable intrusion detection systems. It was generated using a custom Python script (`generate_and_validate_synthetic_microgrid_edited.py`) and validated through statistical comparison with real-world patterns. DOI: [10.5281/zenodo.17554434](https://doi.org/10.5281/zenodo.17554434) --- ## Dataset Contents ### `data/`- synthetic_microgrid_regenerated_clean.csv — Clean synthetic dataset representing normal microgrid operation. - synthetic_microgrid_regenerated_attacked.csv — Dataset containing injected cyber-attacks (FDI, DoS, Replay, Load Alteration, Command Injection). - validation_report_regenerated.json — JSON file summarizing the statistical differences between real and synthetic data. ### `code/`- generate_vlidate_microgrid.py — Python script for synthetic data generation, attack injection, and validation. ### `docs/`- README.md — Project overview and usage guide. - data_description.txt — Description of dataset columns and variables. - how_to_use.txt — Quickstart guide for regeneration and analysis. --- ## How to Use 1. Install dependencies: ```bash pip install pandas numpy