An accurate power state is the basis of the normal functioning of the smart grid. However,
false data injection attacks (FDIAs) take advantage of the vulnerability in the bad data …

Power system state estimation is an essential component of the modern power system
energy management system (EMS), and accurate state estimation is an indispensable basis …

The false data injection attacks (FDIAs) in smart grids can offset the power measurement
data and it can bypass the traditional bad data detection mechanism. To solve this problem …

The false data injection attacks (FDIAs) targeting smart grids compromise the integrity of
supervisory control and data acquisition systems (SCADA), posing a significant threat to the …

The smart grid accessibility over the Internet of Things (IoT) is becoming attractive to
electrical grid operators as it brings considerable operational and cost efficiencies. However …

State estimation plays a vital role to ensure safe and reliable operations in smart grid.
Intelligent attackers can carefully design a destructive and stealthy false data injection attack …

This paper proposes a fast-lightweight location detection framework (FLLF) for false data
injection attacks (FDIAs). The location detection of false data injection attacks is traditionally …

As one of the most dangerous cyber attacks in smart grids, the false data injection attacks
pose a serious threat to power system security. To detect the false data, the traditional …

State estimation is a critical component in determining whether the power grid is operating
properly, or not. Invalid state estimate can have a huge impact on the stability of the grid and …

Due to the disruption and threat of false data injection attack (FDIA) on grid cyber-physical
systems (GCPS), and to address the problem that false data is difficult to be detected, a …