Countering Evasion Attacks for Smart Grid Reinforcement Learning-Based Detectors

Countering Evasion Attacks for Smart Grid Reinforcement Learning-Based Detectors

Fraudulent customers in smart power grids employ cyber-attacks by manipulating their smart meters and reporting false consumption readings to reduce their bills. To combat these attacks and mitigate financial losses, various machine learning-based electricity theft detectors have been proposed. Unfo...

Full description

Bibliographic Details
Main Authors: Ahmed T. El-Toukhy, Mohamed M. E. A. Mahmoud, Atef H. Bondok, Mostafa M. Fouda, Maazen Alsabaan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Security
electricity theft
evasion attacks
reinforcement learning
adversarial training
smart power grids
Online Access:https://ieeexplore.ieee.org/document/10242112/

Internet

https://ieeexplore.ieee.org/document/10242112/

Similar Items