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 on energy management, demand response, and coordination schemes utilization in multi-microgrids network

A Nawaz, M Zhou, J Wu, C Long - Applied Energy, 2022 - Elsevier
The multi-microgrids (MMGs) concept has recently got more attention due to its features of
accommodating large-scale integration of renewable generation with efficient utilization …

Differential privacy for industrial internet of things: Opportunities, applications, and challenges

B Jiang, J Li, G Yue, H Song - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …

Blockchain meets edge computing: Stackelberg game and double auction based task offloading for mobile blockchain

S Guo, Y Dai, S Guo, X Qiu, F Qi - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Blockchain technology is develo** rapidly and has been applied in various aspects,
among which there are broad prospects in Internet of Things (IoT). However, IoT mobile …

Machine learning for security and the internet of things: the good, the bad, and the ugly

F Liang, WG Hatcher, W Liao, W Gao, W Yu - Ieee Access, 2019 - ieeexplore.ieee.org
The advancement of the Internet of Things (IoT) has allowed for unprecedented data
collection, automation, and remote sensing and actuation, transforming autonomous …

Preserving privacy of smart meter data in a smart grid environment

MB Gough, SF Santos, T AlSkaif… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The use of data from residential smart meters can help in the management and control of
distribution grids. This provides significant benefits to electricity retailers as well as …

A robust game-theoretical federated learning framework with joint differential privacy

L Zhang, T Zhu, P **ong, W Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Federated learning is a promising distributed machine learning paradigm that has been
playing a significant role in providing privacy-preserving learning solutions. However …

Applications of auction and mechanism design in edge computing: A survey

H Qiu, K Zhu, NC Luong, C Yi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Edge computing as a promising technology provides lower latency, more efficient
transmission, and faster speed of data processing since the edge servers are closer to the …

Smart contract assisted privacy-preserving data aggregation and management scheme for smart grid

C Hu, Z Liu, R Li, P Hu, T **ang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Data aggregation plays a crucial role in smart grid communication as it enables the
collection of data in an energy-efficient manner. However, the widespread deployment of …

More than privacy: Adopting differential privacy in game-theoretic mechanism design

L Zhang, T Zhu, P **ong, W Zhou, PS Yu - ACM Computing Surveys …, 2021 - dl.acm.org
The vast majority of artificial intelligence solutions are founded on game theory, and
differential privacy is emerging as perhaps the most rigorous and widely adopted privacy …