Enhancing resilience of distributed DC microgrids against cyber attacks using a transformer-based Kalman filter estimator

Enhancing resilience of distributed DC microgrids against cyber attacks using a transformer-based Kalman filter estimator

Abstract This article presents a novel data-driven methodology designed to enhance the resilience of distributed DC microgrids against various cyber attacks, including Fault Detection and Isolation (FDI) attacks, Denial of Service (DoS) attacks, and delay attacks. A Transformer-based Kalman Filter (...

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Bibliographic Details
Main Authors: Seyyed Mohammad Hosseini Rostami, Mahdi Pourgholi, Hadi Asharioun
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
DC microgrids
Cyber attacks
TKF
Deep learning
ARIMA
Online Access:https://doi.org/10.1038/s41598-025-90959-4
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https://doi.org/10.1038/s41598-025-90959-4

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