A data-driven ensemble technique for the detection of false data injection attacks in the smart grid framework

A data-driven ensemble technique for the detection of false data injection attacks in the smart grid framework

The major component of the smart grid (SG) is the advanced metering infrastructure (AMI), which monitors and controls the existing power system and provides interactive services for invoicing and electricity usage management with the utility. Including a cyber-layer in the metering system allows two...

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Bibliographic Details
Main Authors: Tania Gupta, Richa Bhatia, Sachin Sharma, Ch. Rami Reddy, Kareem M. AboRas, Wael Mobarak
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Energy Research
Subjects:
advanced metering infrastructure
cyber security
false data injection attacks
feature extraction
machine learning
smart meter
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2024.1366465/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2024.1366465/full

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