A review on cybersecurity analysis, attack detection, and attack defense methods in cyber-physical power systems

D Du, M Zhu, X Li, M Fei, S Bu, L Wu… - Journal of Modern …, 2022 - ieeexplore.ieee.org
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 …

Review of cyberattack implementation, detection, and mitigation methods in cyber-physical systems

N Mtukushe, AK Onaolapo, A Aluko, DG Dorrell - Energies, 2023 - mdpi.com
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 …

A survey on attack detection, estimation and control of industrial cyber–physical systems

D Zhang, QG Wang, G Feng, Y Shi, AV Vasilakos - ISA transactions, 2021 - Elsevier
Cyber–physical systems (CPSs) are complex systems that involve technologies such as
control, communication, and computing. Nowadays, CPSs have a wide range of applications …

Detection of false data cyber-attacks for the assessment of security in smart grid using deep learning

S Sengan, V Subramaniyaswamy… - Computers & Electrical …, 2021 - Elsevier
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 …

Covert attack detection for LFC systems of electric vehicles: A dual time-varying coding method

Z Wu, E Tian, H Chen - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Kullback–Leibler divergence-based optimal stealthy sensor attack against networked linear quadratic Gaussian systems

XX Ren, GH Yang - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
This article concentrates on designing optimal stealthy attack strategies for cyber-physical
systems (CPSs) modeled by the linear quadratic Gaussian (LQG) dynamics, where the …

A stream learning approach for real-time identification of false data injection attacks in cyber-physical power systems

E Hallaji, R Razavi-Far, M Wang, M Saif… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

Generalized graph neural network-based detection of false data injection attacks in smart grids

A Takiddin, R Atat, M Ismail, O Boyaci… - … on Emerging Topics …, 2023 - ieeexplore.ieee.org
False data injection attacks (FDIAs) pose a significant threat to smart power grids. Recent
efforts have focused on developing machine learning (ML)-based defense strategies against …

Cyber attack detection and isolation for a quadrotor UAV with modified sliding innovation sequences

J Xiao, M Feroskhan - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
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 …

Impact of stealthy false data injection attacks on power flow of power transmission lines—A mathematical verification

F Mohammadi, R Rashidzadeh - International Journal of Electrical Power & …, 2022 - Elsevier
Abstract Stealthy False Data Injection (SFDI) attacks in power systems can lead to a large-
scale cascading failure, if not detected and eliminated quickly. The impact of such attacks …