How effective are synthetic attack models to detect real-world energy theft?
<p>Advanced Metering Infrastructure plays a significant role in smart grid systems by enabling efficient two-way communication between energy suppliers and consumers. Despite its benefits, AMI faces numerous security challenges, including vulnerabilities to cyberattacks and non-technical losse...
Saved in:
| Main Author: | Emran Altamimi (21397883) (author) |
|---|---|
| Other Authors: | Abdulaziz Al-Ali (16393288) (author), Abdulla K. Al-Ali (22928911) (author), Hussein Aly (18877555) (author), Qutaibah M. Malluhi (14151912) (author) |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Data-Driven Detection of Electricity Theft Cyberattacks in PV Generation
by: Shaaban, Mostafa
Published: (2021) -
Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation
by: Ismail, Muhammad
Published: (2020) -
PPETD: Privacy-Preserving Electricity Theft Detection Scheme With Load Monitoring and Billing for AMI Networks
by: Mahmoud Nabil (16855464)
Published: (2019) -
Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning
by: Atef H. Bondok (19482352)
Published: (2023) -
Fine-Tuned RNN-Based Detector for Electricity Theft Attacks in Smart Grid Generation Domain
by: Maymouna Ez Eddin (16904604)
Published: (2022)