A tri-modular framework to minimize smart grid cyber-attack cognitive gap in utility control centers
The Operation and Information Technology support personnel at utility command and control
centers constantly detect suspicious events and/or extreme conditions across the smart grid …
centers constantly detect suspicious events and/or extreme conditions across the smart grid …
Collaborative clustering parallel reinforcement learning for edge-cloud digital twins manufacturing system
F Yang, T Feng, F Xu, H Jiang… - China Communications, 2022 - ieeexplore.ieee.org
To realize high-accuracy physical-cyber digital twin (DT) mapping in a manufacturing
system, a huge amount of data need to be collected and analyzed in real-time. Traditional …
system, a huge amount of data need to be collected and analyzed in real-time. Traditional …
A taxonomy of security and defense mechanisms in digital twins-based cyber-physical systems
The (IoT) paradigm's fundamental goal is to massively connect the “smart things” through
standardized interfaces, providing a variety of smart services. Cyber-Physical Systems …
standardized interfaces, providing a variety of smart services. Cyber-Physical Systems …
Deep reinforcement learning based resource management for DNN inference in IIoT
In this paper, we investigate the joint task assignment and resource allocation for deep
neural network (DNN) inference in the device-edge-cloud based industrial Internet of things …
neural network (DNN) inference in the device-edge-cloud based industrial Internet of things …
Enhancing IoT Security Against DDoS Attacks through Federated Learning
G Shirvani, S Ghasemshirazi, MA Alipour - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid proliferation of the Internet of Things (IoT) has ushered in transformative
connectivity between physical devices and the digital realm. Nonetheless, the escalating …
connectivity between physical devices and the digital realm. Nonetheless, the escalating …
CyberDefender: an integrated intelligent defense framework for digital-twin-based industrial cyber-physical systems
The rise of digital twin-based operational improvements poses a challenge to protecting
industrial cyber-physical systems. It is crucial to safeguard digital twins while disclosing …
industrial cyber-physical systems. It is crucial to safeguard digital twins while disclosing …
New reward-clipping mechanism in deep-learning enabled internet of things in 6G to improve intelligent transmission scheduling
M Alhartomi - 2023 IEEE 13th annual computing and …, 2023 - ieeexplore.ieee.org
Sixth-generation (6G) networks and apps have lately benefited from the use of artificial
intelligence (AI) to improve a significant amount of data. The integration of AI with 6G can …
intelligence (AI) to improve a significant amount of data. The integration of AI with 6G can …
LSTM-Based false data injection attack detection in smart grids
As a typical cyber-physical system, smart grid has attracted growing attention due to the safe
and efficient operation. The false data injection attack against energy management system is …
and efficient operation. The false data injection attack against energy management system is …
Trust-based multi-agent imitation learning for green edge computing in smart cities
Green communications and networking technologies boost the interconnection and
communication of Internet of Things (IoT) devices, so as to facilitate the task offloading …
communication of Internet of Things (IoT) devices, so as to facilitate the task offloading …
Data integrity attack in dynamic state estimation of smart grid: Attack model and countermeasures
A smart grid integrates advanced sensors, efficient measurement methods, progressive
control technologies, and other techniques and devices to achieve safe, efficient and …
control technologies, and other techniques and devices to achieve safe, efficient and …