A survey on the detection algorithms for false data injection attacks in smart grids
Cyber-physical attacks are the main substantial threats facing the utilization and
development of the various smart grid technologies. Among these attacks, false data …
development of the various smart grid technologies. Among these attacks, false data …
Cyber-physical energy systems security: Threat modeling, risk assessment, resources, metrics, and case studies
Cyber-physical systems (CPS) are interconnected architectures that employ analog and
digital components as well as communication and computational resources for their …
digital components as well as communication and computational resources for their …
A hybrid deep learning model for discrimination of physical disturbance and cyber-attack detection in smart grid
K Bitirgen, ÜB Filik - International Journal of Critical Infrastructure Protection, 2023 - Elsevier
A smart grid (SG) consists of an interconnection of an electrical grid, communication, and
information networks. The rapid developments of SG technologies have resulted in complex …
information networks. The rapid developments of SG technologies have resulted in complex …
Attack and defence methods in cyber‐physical power system
T Yang, Y Liu, W Li - IET Energy Systems Integration, 2022 - Wiley Online Library
With the development of digitalisation and intelligence, the power system has been
upgraded from the traditional single energy transmission and conversion system to a …
upgraded from the traditional single energy transmission and conversion system to a …
Analysis of moving target defense against false data injection attacks on power grid
Recent studies have considered thwarting false data injection (FDI) attacks against state
estimation in power grids by proactively perturbing branch susceptances. This approach is …
estimation in power grids by proactively perturbing branch susceptances. This approach is …
Evasion attacks with adversarial deep learning against power system state estimation
Cyberattacks against critical infrastructures, including power systems, are increasing rapidly.
False Data Injection Attacks (FDIAs) are among the attacks that have been demonstrated to …
False Data Injection Attacks (FDIAs) are among the attacks that have been demonstrated to …
Hardware-assisted detection of firmware attacks in inverter-based cyberphysical microgrids
The electric grid modernization effort relies on the extensive deployment of microgrid (MG)
systems. MGs integrate renewable resources and energy storage systems, allowing to …
systems. MGs integrate renewable resources and energy storage systems, allowing to …
On the feasibility of load-changing attacks in power systems during the COVID-19 pandemic
The electric power grid is a complex cyberphysical energy system (CPES) in which
information and communication technologies (ICT) are integrated into the operations and …
information and communication technologies (ICT) are integrated into the operations and …
Security enhancement of power system state estimation with an effective and low-cost moving target defense
Moving target defense (MTD) is a new defensive mechanism developed in power systems to
thwart false data injection attacks (FDIAs). However, since the MTD works by perturbing the …
thwart false data injection attacks (FDIAs). However, since the MTD works by perturbing the …
Adversarial attack and defense methods for neural network based state estimation in smart grid
J Tian, B Wang, J Li… - IET Renewable Power …, 2022 - Wiley Online Library
Deep learning has been recently used in safety‐critical cyber‐physical systems (CPS) such
as the smart grid. The security assessment of such learning‐based methods within CPS …
as the smart grid. The security assessment of such learning‐based methods within CPS …