A survey on digital twin for industrial internet of things: Applications, technologies and tools

H Xu, J Wu, Q Pan, X Guan… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained,
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …

A comprehensive review of cybersecurity in inverter-based smart power system amid the boom of renewable energy

ND Tuyen, NS Quan, VB Linh, V Van Tuyen… - IEEE …, 2022 - ieeexplore.ieee.org
The blossom of renewable energy worldwide and its uncertain nature have driven the need
for a more intelligent power system with the deep integration of smart power electronics. The …

Hybrid‐driven‐based fuzzy secure filtering for nonlinear parabolic partial differential equation systems with cyber attacks

Z Zhang, X Song, X Sun… - International Journal of …, 2023 - Wiley Online Library
The problem of hybrid‐driven fuzzy filtering for nonlinear semi‐linear parabolic partial
differential equation systems with dual cyber attacks is investigated. First, a Takagi‐Sugeno …

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 …

An enriched RPCO-BCNN mechanisms for attack detection and classification in SCADA systems

S Shitharth, KM Prasad, K Sangeetha… - IEEE …, 2021 - ieeexplore.ieee.org
Providing security to the Supervisory Control and Data Acquisition (SCADA) systems is one
of the demanding and crucial tasks in recent days, due to the different types of attacks on the …

[HTML][HTML] 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 …

Machine learning security attacks and defense approaches for emerging cyber physical applications: A comprehensive survey

J Singh, M Wazid, AK Das, V Chamola… - Computer …, 2022 - Elsevier
The cyber physical systems integrate the sensing, computation, control and networking
processes into physical objects and infrastructure, which are connected through the Internet …

[HTML][HTML] Cybersecurity of photovoltaic systems: challenges, threats, and mitigation strategies: a short survey

F Harrou, B Taghezouit, B Bouyeddou… - Frontiers in Energy …, 2023 - frontiersin.org
Photovoltaic (PV) systems, as critical components of the power grid, have become
increasingly reliant on standard Information Technology (IT) computing and network …

Cyber–physical systems subject to false data injections: A model predictive control framework for resilience operations

G Franzè, D Famularo, W Lucia, F Tedesco - Automatica, 2023 - Elsevier
In this paper, the resilient control problem for constrained cyber–physical systems subject to
false data injections is addressed. The core of the proposed approach consists in defining …

[HTML][HTML] Security state estimation for cyber-physical systems against DoS attacks via reinforcement learning and game theory

Z Jin, S Zhang, Y Hu, Y Zhang, C Sun - Actuators, 2022 - mdpi.com
This paper addressed the optimal policy selection problem of attacker and sensor in cyber-
physical systems (CPSs) under denial of service (DoS) attacks. Since the sensor and the …