Detection of cyber attacks in smart power distribution grids with unbalanced configurations
poses challenges due to the inherent nonlinear nature of these uncertain and stochastic …

False data injection attacks (FDIAs) are an important network attack threatening the security
of power systems to tamper with instruments and measurements. Conventional FDIAs …

Smart grid systems (SGSs), and in particular power systems, play a vital role in today's urban
life. The security of these grids is now threatened by adversaries that use false data injection …

False data injection attacks (FDIAs) pose a significant threat to the healthy and safe
operation of smart grids. Traditional fdia detection methods are difficult to deal with complex …

The digital transformation process of power systems toward smart grids is resulting in
improved reliability, efficiency and situational awareness at the expense of increased …

Smart Cyber Physical Grids are the new wave of power system technology that integrates
networks of sensors with power stations for more efficient power generation and distribution …

Amidst the evolving communication technology landscape, conventional distribution
networks have gradually metamorphosed into cyber–physical power systems (CPPSs) …

Advancements in information and communication technologies have revolutionized
monitoring and control capabilities within smart grids. However, it also brings new …

Although state estimation using a bad data detector (BDD) is a key procedure employed in
power systems, the detector is vulnerable to false data injection attacks (FDIAs). Substantial …

Deep learning (DL) has emerged as a key technique in smart grid operations for task
classification of power quality disturbances (PQDs). Even though these models have …