Fine-Tuned RNN-Based Detector for Electricity Theft Attacks in Smart Grid Generation Domain

Fine-Tuned RNN-Based Detector for Electricity Theft Attacks in Smart Grid Generation Domain

In this article, we investigate the problem of electricity theft attacks on smart meters when malicious customers (i.e., adversaries) claim injecting more generated energy into the grid to get more profits from utility companies. These attacks can be applied by accessing the smart meters monitoring...

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Bibliographic Details
Main Authors: Maymouna Ez Eddin, Abdullatif Albaseer, Mohamed Abdallah, Sertac Bayhan, Marwa K. Qaraqe, Saif Al-Kuwari, Haitham Abu-Rub
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Cyberattacks on smart grid
electricity theft
generation domain
deep-learning (DL)-based detector
small perturbations
Online Access:https://ieeexplore.ieee.org/document/9964082/

Internet

https://ieeexplore.ieee.org/document/9964082/

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