Achieving resilience in sdn-based smart grid: A multi-armed bandit approach
With the advancement in electrical power systems, control engineering, and information and
communication technologies (ICT), remarkable efforts have been made to improve the …
communication technologies (ICT), remarkable efforts have been made to improve the …
Deep-reinforcement-learning-based cybertwin architecture for 6G IIoT: An integrated design of control, communication, and computing
H Xu, J Wu, J Li, X Lin - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The cybertwin and 6G-enabled Industrial Internet of Things (6G-IIoT) are the critical
technologies that create the digital counterparts for physical systems and enable the near …
technologies that create the digital counterparts for physical systems and enable the near …
Dual-Reinforcement-Learning-Based Attack Path Prediction for 5G Industrial Cyber–Physical Systems
X Li, X Hu, T Jiang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
5G industrial cyber–physical systems (5G-ICPSs) have attracted substantial research
interests due to their capability in the interconnection of everything. However, integrating the …
interests due to their capability in the interconnection of everything. However, integrating the …
Swarm learning irs in 6g-metaverse: Secure configurable resources trading for reliable xr communications
The emerging Metaverse has challenging requirements for the reliability of extended reality
(XR) data transmission. Configurable communication is a promising technology to improve …
(XR) data transmission. Configurable communication is a promising technology to improve …
Deep reinforcement learning for online distribution power system cybersecurity protection
The sophistication and regularity of power system cybersecurity attacks has been growing in
the last decade, leading researchers to investigate new innovative, cyber-resilient tools to …
the last decade, leading researchers to investigate new innovative, cyber-resilient tools to …
Deep reinforcement learning based green resource allocation mechanism in edge computing driven power Internet of Things
M Yang, P Yu, Y Wang, X Huang, W Miu… - 2020 International …, 2020 - ieeexplore.ieee.org
Smart grid deploys a large number of smart terminals and sensing devices to form an edge
network, as well as a virtual network of information space and the power Internet of Things …
network, as well as a virtual network of information space and the power Internet of Things …
Intelligent resource management using multiagent double deep Q-networks to guarantee strict reliability and low latency in IoT network
With the rapid adoption of the Internet of Things, it is necessary to go beyond fifth-generation
applications and apply stringent high reliability and low latency requirements, closely related …
applications and apply stringent high reliability and low latency requirements, closely related …
Block chain fostered cycle‐consistent generative adversarial network framework espoused intrusion detection for protecting IoT network
G Sugitha, A Solairaj, J Suresh - Transactions on Emerging …, 2022 - Wiley Online Library
In smart city infrastructure, IoT networks contain intelligent devices for collecting and
processing data using open channel internet. Some challenges have occurred in the …
processing data using open channel internet. Some challenges have occurred in the …
Integrated proactive defense for software defined Internet of Things under multi-target attacks
Due to the constrained resource and computational limitation of many Internet of Things
(IoT) devices, conventional security protections, which require high computational overhead …
(IoT) devices, conventional security protections, which require high computational overhead …
Multi-agent deep reinforcement learning-driven mitigation of adverse effects of cyber-attacks on electric vehicle charging station
An electric vehicle charging station (EVCS) infrastructure is the backbone of transportation
electrification. However, the EVCS has myriads of exploitable vulnerabilities in software …
electrification. However, the EVCS has myriads of exploitable vulnerabilities in software …