On the control of microgrids against cyber-attacks: A review of methods and applications
Nowadays, the use of renewable generations, energy storage systems (ESSs) and
microgrids (MGs) has been developed due to better controllability of distributed energy …
microgrids (MGs) has been developed due to better controllability of distributed energy …
Intrusion response systems for cyber-physical systems: A comprehensive survey
Abstract Cyberattacks on Cyber-Physical Systems (CPS) are on the rise due to CPS
increased networked connectivity and may cause costly environmental hazards as well as …
increased networked connectivity and may cause costly environmental hazards as well as …
Cyber security in smart cities: a review of deep learning-based applications and case studies
D Chen, P Wawrzynski, Z Lv - Sustainable Cities and Society, 2021 - Elsevier
On the one hand, smart cities have brought about various changes, aiming to revolutionize
people's lives. On the other hand, while smart cities bring better life experiences and great …
people's lives. On the other hand, while smart cities bring better life experiences and great …
A machine learning approach for anomaly detection in industrial control systems based on measurement data
Attack detection problems in industrial control systems (ICSs) are commonly known as a
network traffic monitoring scheme for detecting abnormal activities. However, a network …
network traffic monitoring scheme for detecting abnormal activities. However, a network …
A review of AI-based cyber-attack detection and mitigation in microgrids
In this paper, the application and future vision of Artificial Intelligence (AI)-based techniques
in microgrids are presented from a cyber-security perspective of physical devices and …
in microgrids are presented from a cyber-security perspective of physical devices and …
A cyber–physical–social perspective on future smart distribution systems
An increasing number of distributed energy resources (DERs), such as rooftop photovoltaic
(PV), electric vehicles (EVs), and distributed energy storage, are being integrated into the …
(PV), electric vehicles (EVs), and distributed energy storage, are being integrated into the …
A review of machine learning approaches in synchrophasor technology
MD Lal, R Varadarajan - IEEE Access, 2023 - ieeexplore.ieee.org
As power systems (PS) move toward smart grids and microgrids in modern times, complexity
eventually rises as a result of integration with various distributed energy resources, demand …
eventually rises as a result of integration with various distributed energy resources, demand …
Exploring the integration of blockchain technology, physical unclonable function, and machine learning for authentication in cyber-physical systems
In this rapidly advancing era, technology has been progressing extensively and swiftly. As a
result, the emergence of numerous Cyber-Physical Systems (CPS) has become imperative …
result, the emergence of numerous Cyber-Physical Systems (CPS) has become imperative …
Resilience improvement of cyber-physical supply chain networks considering cascading failures with mixed failure modes
Failure mode analysis and recovery strategy improvement are critical to maintain the
resilience of cyber-physical supply chain networks (CPSCNs). However, current literature …
resilience of cyber-physical supply chain networks (CPSCNs). However, current literature …
Resilient economic control for distributed microgrids under false data injection attacks
W Zhang, T Qian, X Chen, K Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the rapid applications of communication technology, the hierarchical control of
microgrids is threatened by unprecedented cyber attacks and faults. Current researches …
microgrids is threatened by unprecedented cyber attacks and faults. Current researches …