Peer-reviewedCC BY 4.0Scientific Reports
GridXAI-diffusion an adaptive graph intelligence framework for interpretable data integrity analysis in smart grid cybersecurity systems
Related
- An interpretable synthetic benchmark for machine learning in low-strain pile integrity testing
- A modular risk management framework for integrating cybersecurity and patient safety in medical device software development
- Zero-trust cybersecurity framework for AI-driven Energy Internet and smart grid systems
- Blockchain-enhanced SDN framework with deep unfolding spatial frequency attention network and pine cone optimization for smart city IoT cybersecurity
- Artificial Intelligence in Cybersecurity: Techniques, Limitations, and Research Directions
BibTeX
@article{issac2026gridxaidiffusion,
title = {{GridXAI-diffusion an adaptive graph intelligence framework for interpretable data integrity analysis in smart grid cybersecurity systems}},
author = {A. Joshua Issac and S. Shanmuga Priya},
journal = {Scientific Reports},
year = {2026},
month = nov,
doi = {10.1038/s41598-026-75267-9},
url = {https://www.nature.com/articles/s41598-026-75267-9},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - GridXAI-diffusion an adaptive graph intelligence framework for interpretable data integrity analysis in smart grid cybersecurity systems
AU - A. Joshua Issac
AU - S. Shanmuga Priya
PY - 2026
DA - 2026/11/05
JO - Scientific Reports
DO - 10.1038/s41598-026-75267-9
UR - https://www.nature.com/articles/s41598-026-75267-9
SN - 2045-2322
ER -