Potential malicious cyber-attacks to power systems which are connected to a wide range of
stakeholders from the top to tail will impose significant societal risks and challenges. The …

With the rapid proliferation of cyber-physical systems (CPSs) in various sectors, including
critical infrastructure, transportation, healthcare, and the energy industry, there is a pressing …

Cyber–physical systems (CPSs) are complex systems that involve technologies such as
control, communication, and computing. Nowadays, CPSs have a wide range of applications …

False data injection attacks (FDIAs) pose a significant threat to smart power grids. Recent
efforts have focused on develo** machine learning (ML)-based defense strategies against …

Smart Grid uses electricity and information flows to set up a highly developed, fully
automated, and distributed electricity grid system. To identify the reliability of work and …

In recent years, electric vehicles (EVs) have been widely used due to their remarkable
decrease in carbon emissions and gasoline consumption. When the EVs are incorporated …

This article concentrates on designing optimal stealthy attack strategies for cyber-physical
systems (CPSs) modeled by the linear quadratic Gaussian (LQG) dynamics, where the …

This paper presents a novel data-driven framework to aid in system state estimation when
the power system is under unobservable false data injection attacks. The proposed …

Common vulnerabilities in typical intelligent cyber-physical systems such as unmanned
aerial vehicles (UAVs) can be easily exploited by cyber attackers to cause serious accidents …

False data injection attack (FDIA) can pose a severe threat to the distribution networks (DN),
and the accurate detection of FDIA plays a key role in the safe and reliable operation of the …