Differential privacy for industrial internet of things: Opportunities, applications, and challenges
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 …
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
[HTML][HTML] Metaverse for smart cities: A surveys
The concept of a smart city is geared towards enhancing convenience and the efficient
management of city areas through innovation. As Metaverse rises in the 2020s, providing …
management of city areas through innovation. As Metaverse rises in the 2020s, providing …
Medical image encryption by content-aware DNA computing for secure healthcare
There exists a rising concern on security of healthcare data and service. Even small lost,
stolen, displaced, hacked, or communicated in personal health data could bring huge …
stolen, displaced, hacked, or communicated in personal health data could bring huge …
Optimal privacy preservation strategies with signaling Q-learning for edge-computing-based IoT resource grant systems
S Shen, X Wu, P Sun, H Zhou, Z Wu, S Yu - Expert Systems with …, 2023 - Elsevier
Data privacy leakage can be severe when a malicious Internet of Things (IoT) node sends
requests to gather private data from an edge-computing-based IoT cloud storage system …
requests to gather private data from an edge-computing-based IoT cloud storage system …
Privacy-preserving federated learning framework based on chained secure multiparty computing
Federated learning (FL) is a promising new technology in the field of IoT intelligence.
However, exchanging model-related data in FL may leak the sensitive information of …
However, exchanging model-related data in FL may leak the sensitive information of …
Lightweight and secure authentication scheme for IoT network based on publish–subscribe fog computing model
Abstract The Internet of Things (IoT) has converged with Cloud computing to provide
comprehensive services to users in different places. However, with the exponential growth of …
comprehensive services to users in different places. However, with the exponential growth of …
Privacy-enhanced data collection based on deep learning for internet of vehicles
T Wang, Z Cao, S Wang, J Wang, L Qi… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The development of smart cities and deep learning technology is changing our physical
world to a cyber world. As one of the main applications, the Internet of Vehicles has been …
world to a cyber world. As one of the main applications, the Internet of Vehicles has been …
Privacy-preserving quality prediction for edge-based IoT services
Abstract Quality of Service (QoS) prediction and privacy preservation are two key challenges
in service recommendation. Nevertheless, the existing QoS prediction methods cannot be …
in service recommendation. Nevertheless, the existing QoS prediction methods cannot be …
A unified trustworthy environment establishment based on edge computing in industrial IoT
Under the combination of Internet-of-Things (IoT) technology and traditional industry, the
Industrial IoT (IIoT) came into being and received wide attention from all walks of life. With …
Industrial IoT (IIoT) came into being and received wide attention from all walks of life. With …
Edge-based auditing method for data security in resource-constrained internet of things
The explosive generation of Internet of Things (IoT) data calls for cloud service providers
(CSP) to further provide more secure and reliable transmission, storage, and management …
(CSP) to further provide more secure and reliable transmission, storage, and management …