A Trojan Attack Against Smart Grid Federated Learning and Countermeasures

A Trojan Attack Against Smart Grid Federated Learning and Countermeasures

In smart power grid, consumers can hack their smart meters to report low electricity consumption readings to reduce their bills launching electricity theft cyberattacks. This study investigates a Trojan attack in federated learning of a detector for electricity theft. In this attack, dishonest consu...

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Bibliographic Details
Main Authors: Atef H. Bondok, Mahmoud M. Badr, Mohamed M. E. A. Mahmoud, Ahmed T. El-Toukhy, Maazen Alsabaan, Fathi Amsaad, Mohamed I. Ibrahem
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Federated learning
security
smart power grid
Trojan attacks
Online Access:https://ieeexplore.ieee.org/document/10792898/
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https://ieeexplore.ieee.org/document/10792898/

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