Five facets of 6G: Research challenges and opportunities

LH Shen, KT Feng, L Hanzo - ACM Computing Surveys, 2023 - dl.acm.org
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …

A new direction in social network analysis: Online social network analysis problems and applications

U Can, B Alatas - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

Decentralized privacy using blockchain-enabled federated learning in fog computing

Y Qu, L Gao, TH Luan, Y Xiang, S Yu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
As the extension of cloud computing and a foundation of IoT, fog computing is experiencing
fast prosperity because of its potential to mitigate some troublesome issues, such as network …

[HTML][HTML] Privacy computing: concept, computing framework, and future development trends

F Li, H Li, B Niu, J Chen - Engineering, 2019 - Elsevier
With the rapid development of information technology and the continuous evolution of
personalized services, huge amounts of data are accumulated by large internet companies …

A survey on indoor positioning security and privacy

Y Sartayeva, HCB Chan - Computers & Security, 2023 - Elsevier
With rising demand for indoor location-based services (LBS) such as location-based
marketing, mobile navigation, etc., there has been considerable interest in indoor …

Efficient and privacy-preserving dynamic spatial query scheme for ride-hailing services

F Wang, H Zhu, X Liu, R Lu, F Li, H Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
With the prosperity of mobile internet and the pervasiveness of location-aware mobile
terminals, online ride-hailing, a high-level location-based service (LBS) which relies on …

Privacy-preserving collaborative model learning scheme for E-healthcare

F Wang, H Zhu, X Liu, R Lu, J Hua, H Li, H Li - IEEE Access, 2019 - ieeexplore.ieee.org
With the advances of data mining and the pervasiveness of cloud computing, online medical
diagnosis service has been extensively applied in e-heathcare field, and brought great …

Fog-based secure service discovery for internet of multimedia things: a cross-blockchain approach

H Liang, J Wu, X Zheng, M Zhang, J Li… - ACM Transactions on …, 2020 - dl.acm.org
The Internet of Multimedia Things (IoMT) has become the backbone of innumerable
multimedia applications in various fields. The wide application of IoMT not only makes our …

LDP-based social content protection for trending topic recommendation

J Wei, J Li, Y Lin, J Zhang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Trending topic recommendation (TTR) has become a popular social service for social users
to obtain interesting topics based on public social content. Due to sensitive privacy, the …

Secure and Efficient Two-Party Quantum Scalar Product Protocol With Application to Privacy-Preserving Matrix Multiplication

WJ Liu, ZX Li - IEEE Transactions on Circuits and Systems I …, 2023 - ieeexplore.ieee.org
Secure two-party scalar product (S2SP) is a promising research area within secure
multiparty computation (SMC), which can solve a range of SMC problems, such as intrusion …