Clustering and Ensemble Based Approach for Securing Electricity Theft Detectors Against Evasion Attacks

Clustering and Ensemble Based Approach for Securing Electricity Theft Detectors Against Evasion Attacks

In smart power grids, electricity theft causes huge economic losses to electrical utility companies. Machine learning (ML), especially deep neural network (DNN) models hold state-of-the-art performance in detecting electricity theft cyberattacks. However, DNN models are vulnerable to adversarial att...

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Bibliographic Details
Main Authors: Islam Elgarhy, Mahmoud M. Badr, Mohamed M. E. A. Mahmoud, Mostafa M. Fouda, Maazen Alsabaan, Hisham A. Kholidy
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Security
smart grids
electricity theft
evasion attacks
applied machine learning
clustering
Online Access:https://ieeexplore.ieee.org/document/10258262/

Internet

https://ieeexplore.ieee.org/document/10258262/

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