False Data Injection Attack Detection and Mitigation Using Nonlinear Autoregressive Exogenous Input-Based Observers in Distributed Control for DC Microgrid

False Data Injection Attack Detection and Mitigation Using Nonlinear Autoregressive Exogenous Input-Based Observers in Distributed Control for DC Microgrid

This study investigates the vulnerability of dc microgrid systems to cyber threats, focusing on false data injection attacks (FDIAs) affecting sensor measurements. These attacks pose significant risks to equipment, generation units, controllers, and human safety. To address this vulnerability, we pr...

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Bibliographic Details
Main Authors: Md Abu Taher, Milad Behnamfar, Arif I. Sarwat, Mohd Tariq
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Control system resilience
cyber-attacks
DC Microgrid
false data injection attacks (FDIAs)
nonlinear autoregressive network with exogenous input (NARX)-based observer
OPAL-RT
Online Access:https://ieeexplore.ieee.org/document/10540225/
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https://ieeexplore.ieee.org/document/10540225/

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