Recent security trends in internet of things: A comprehensive survey

Y Harbi, Z Aliouat, A Refoufi, S Harous - IEEE Access, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) aims to transform everyday physical objects into an
interconnected ecosystem with digital data accessible anywhere and anytime.“Things” in IoT …

Robust collaborative filtering recommendation with user-item-trust records

F Wang, H Zhu, G Srivastava, S Li… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The ever-increasing popularity of recommendation systems allows users to find appropriate
services without excessive effort. However, due to the unstable and complex network …

An attention‐based category‐aware GRU model for the next POI recommendation

Y Liu, A Pei, F Wang, Y Yang, X Zhang… - … Journal of Intelligent …, 2021 - Wiley Online Library
With the continuous accumulation of users' check‐in data, we can gradually capture users'
behavior patterns and mine users' preferences. Based on this, the next point‐of‐interest …

A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems

M Chen, W Liu, T Wang, S Zhang, A Liu - Knowledge-Based Systems, 2022 - Elsevier
Many previous energy-efficient computation optimization works for mobile edge computing
(MEC) systems have been based on the assumption of synchronous offloading, where all …

A triple real-time trajectory privacy protection mechanism based on edge computing and blockchain in mobile crowdsourcing

W Wang, Y Wang, P Duan, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …

Game theory in internet of things: A survey

C Chi, Y Wang, X Tong, M Siddula… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices are being used widely in the fields of smart city, smart grid,
environmental monitoring, Internet of Vehicles and other fields that need large-scale sensing …

Privacy protection federated learning system based on blockchain and edge computing in mobile crowdsourcing

W Wang, Y Wang, Y Huang, C Mu, Z Sun, X Tong… - Computer Networks, 2022 - Elsevier
With the rapid popularization and development of the Internet of Things (IoT) and 5G
networks, mobile crowdsourcing (MCS) has become an indispensable part in today's …

Data-driven many-objective crowd worker selection for mobile crowdsourcing in industrial IoT

Z Lu, Y Wang, X Tong, C Mu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of mobile networks and intelligent equipment, as a new intelligent
data sensing paradigm in large-scale sensor applications such as the industrial Internet of …

Walrasian equilibrium-based multiobjective optimization for task allocation in mobile crowdsourcing

Y Wang, Z Cai, ZH Zhan, B Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of Industry 5.0 and mobile devices, the research of mobile
crowdsensing networks has become an important research focus. Task allocation is an …

Two-stage bilateral online priority assignment in spatio-temporal crowdsourcing

Q Zhang, Y Wang, G Yin, X Tong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the advent of intelligent technology, the users of spatio-temporal crowdsourcing and
their participation in the crowdsourcing tasks continue to increase exponentially. This poses …