Tensor-empowered federated learning for cyber-physical-social computing and communication systems

LT Yang, R Zhao, D Liu, W Lu… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The deep fusion of human-centered Cyber-Physical-Social Systems (CPSSs) has attracted
widespread attention worldwide and big data as the blood of CPSSs could lay a solid data …

[HTML][HTML] Differential privacy in edge computing-based smart city Applications: Security issues, solutions and future directions

A Yao, G Li, X Li, F Jiang, J Xu, X Liu - Array, 2023 - Elsevier
Fast-growing smart city applications, such as smart delivery, smart community, and smart
health, are generating big data that are widely distributed on the internet. IoT (Internet of …

Pub-SubMCS: A privacy-preserving publish–subscribe and blockchain-based mobile crowdsensing framework

A Agrawal, S Choudhary, A Bhatia, K Tiwari - Future Generation Computer …, 2023 - Elsevier
This paper proposes a privacy-preserving publish–subscribe-based decentralized
framework for MCS systems named “Pub-SubMCS”. The framework allows data sharing …

Differential privacy may have a potential optimization effect on some swarm intelligence algorithms besides privacy-preserving

Z Zhang, H Zhu, M Xie - Information Sciences, 2024 - Elsevier
Differential privacy (DP), as a promising privacy-preserving model, has attracted great
interest from researchers in recent years. At present, research on the combination of deep …

The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0

X Wang, Y Wang, J Yang, X Jia, L Li, W Ding… - Information Fusion, 2024 - Elsevier
As the concept of Industries 5.0 develops, industrial metaverses are expected to operate in
parallel with the actual industrial processes to offer “Human-Centric” Safe, Secure …

A review of cancer data fusion methods based on deep learning

Y Zhao, X Li, C Zhou, H Pen, Z Zheng, J Chen, W Ding - Information Fusion, 2024 - Elsevier
With advancements in modern medical technology, an increasing amount of cancer-related
information can be acquired through various means, such as genomics, proteomics …

Cloud storage auditing and data sharing with data deduplication and private information protection for cloud-based EMR

J Yu, W Shen, X Zhang - Computers & Security, 2024 - Elsevier
In the cloud-based electronic medical records (EMRs) system, the doctors upload EMRs to
the cloud for storage and sharing. However, the integrity of EMRs stored in the cloud cannot …

Lightweight privacy-preserving authentication mechanism in 5G-enabled industrial cyber physical systems

X Xiang, J Cao, W Fan - Information Sciences, 2024 - Elsevier
With the deep integration of informatization and industrialization, cyber-physical system
(CPS), which integrates computing, communication and control technologies, comes into …

Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review

A Majeed - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
Anonymization techniques are widely used to make personal data broadly available for
analytics/data-mining purposes while preserving the privacy of the personal information …

A transferred spatio-temporal deep model based on multi-LSTM auto-encoder for air pollution time series missing value imputation

X Zhang, P Zhou - Future Generation Computer Systems, 2024 - Elsevier
Air pollution is one of the most severe problems facing the world. Research on air quality
prediction and analysis of influencing factors also continues to grow. When conducting this …