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Comprehensive survey and taxonomies of false data injection attacks in smart grids: attack models, targets, and impacts
Smart Grid is organically growing over the centrally controlled power system and becoming
a massively interconnected cyber–physical system with advanced technologies of fast …
a massively interconnected cyber–physical system with advanced technologies of fast …
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 …
False data injection threats in active distribution systems: A comprehensive survey
With the proliferation of smart devices and revolutions in communications, electrical
distribution systems are gradually shifting from passive, manually-operated and inflexible …
distribution systems are gradually shifting from passive, manually-operated and inflexible …
Deep learning-based interval state estimation of AC smart grids against sparse cyber attacks
Due to the aging of electric infrastructures, conventional power grid is being modernized
toward smart grid that enables two-way communications between consumer and utility, and …
toward smart grid that enables two-way communications between consumer and utility, and …
A smart digital twin enabled security framework for vehicle-to-grid cyber-physical systems
The rapid growth of electric vehicle (EV) penetration has led to more flexible and reliable
vehicle-to-grid-enabled cyber-physical systems (V2G-CPSs). However, the increasing …
vehicle-to-grid-enabled cyber-physical systems (V2G-CPSs). However, the increasing …
Dynamic data injection attack detection of cyber physical power systems with uncertainties
Understanding potential behaviors of attackers is of paramount importance for improving the
cybersecurity of power systems. However, the attack behaviors in existing studies are often …
cybersecurity of power systems. However, the attack behaviors in existing studies are often …
False data injection attacks with limited susceptance information and new countermeasures in smart grid
In this paper, we consider false data injection (FDI) attacks with limited information of
transmission-line susceptances and new countermeasures in smart grids. First, we prove …
transmission-line susceptances and new countermeasures in smart grids. First, we prove …
Defending against data integrity attacks in smart grid: A deep reinforcement learning-based approach
State estimation plays a critical role in monitoring and managing operation of smart grid.
Nonetheless, recent research efforts demonstrate that data integrity attacks are able to …
Nonetheless, recent research efforts demonstrate that data integrity attacks are able to …
Can attackers with limited information exploit historical data to mount successful false data injection attacks on power systems?
This paper studies physical consequences of unobservable false data injection (FDI) attacks
designed only with information inside a subnetwork of the power system. The goal of this …
designed only with information inside a subnetwork of the power system. The goal of this …
Toward data integrity attacks against distributed dynamic state estimation in smart grid
With the continuous expansion of the power grid nodes scale, traditional centralized state
estimation method shows certain limitations in estimation efficiency and accuracy. Recently …
estimation method shows certain limitations in estimation efficiency and accuracy. Recently …