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 (ie, adversaries) claim injecting more generated energy into the grid to …
malicious customers (ie, adversaries) claim injecting more generated energy into the grid to …
Efficient deep learning based detector for electricity theft generation system attacks in smart grid
This paper investigates the problem of electricity theft attacks in the generation domain. In
this attack, the adversaries aim to manipulate readings to claim higher energy injected into …
this attack, the adversaries aim to manipulate readings to claim higher energy injected into …
Robust detection of electricity theft against evasion attacks in smart grids
Electricity theft cyber-attacks pose significant threats to smart power grids. In these attacks,
malicious customers hack into their smart meters and manipulate the integrity of their energy …
malicious customers hack into their smart meters and manipulate the integrity of their energy …
Deep learning detection of electricity theft cyber-attacks in renewable distributed generation
Unlike the existing research that focuses on detecting electricity theft cyber-attacks in the
consumption domain, this paper investigates electricity thefts at the distributed generation …
consumption domain, this paper investigates electricity thefts at the distributed generation …
Deep learning-based detection of electricity theft cyber-attacks in smart grid AMI networks
Advanced metering infrastructure (AMI) is the primary step to establish a modern smart grid.
AMI enables a flexible two-way communication between smart meters and utility company …
AMI enables a flexible two-way communication between smart meters and utility company …
Electricity theft detection using deep reinforcement learning in smart power grids
AT El-Toukhy, MM Badr, MMEA Mahmoud… - IEEE …, 2023 - ieeexplore.ieee.org
In smart power grids, smart meters (SMs) are deployed at the end side of customers to report
fine-grained power consumption readings periodically to the utility for energy management …
fine-grained power consumption readings periodically to the utility for energy management …
Detection of electricity theft false data injection attacks in smart grids
Malicious customers hack into their smart meters to reduce their electricity bills using various
cyberattack types. Such actions lead to financial losses and stability issues in the power grid …
cyberattack types. Such actions lead to financial losses and stability issues in the power grid …
Detection of false-reading attacks in smart grid net-metering system
MM Badr, MI Ibrahem, M Mahmoud… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the smart grid, malicious customers may compromise their smart meters (SMs) to report
false readings to achieve financial gains illegally. This causes hefty financial losses to the …
false readings to achieve financial gains illegally. This causes hefty financial losses to the …
Deep recurrent electricity theft detection in AMI networks with random tuning of hyper-parameters
Modern smart grids rely on advanced metering infrastructure (AMI) networks for monitoring
and billing purposes. However, such an approach suffers from electricity theft cyberattacks …
and billing purposes. However, such an approach suffers from electricity theft cyberattacks …
A novel evasion attack against global electricity theft detectors and a countermeasure
MM Badr, MMEA Mahmoud, M Abdulaal… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The smart grid advanced metering infrastructure (AMI) is vulnerable to electricity theft cyber-
attacks in which malicious smart meters report low readings to reduce the consumers' bills …
attacks in which malicious smart meters report low readings to reduce the consumers' bills …