Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

L Alzubaidi, A Al-Sabaawi, J Bai… - … Journal of Intelligent …, 2023 - Wiley Online Library
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

A survey on digital twins: Architecture, enabling technologies, security and privacy, and future prospects

Y Wang, Z Su, S Guo, M Dai… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
By interacting, synchronizing, and cooperating with its physical counterpart in real time,
digital twin (DT) is promised to promote an intelligent, predictive, and optimized modern city …

Design Guidelines on Trust Management for Underwater Wireless Sensor Networks

R Zhu, A Boukerche, L Long… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In recent years, significant advancements in wireless underwater communication and
acoustic sensor technology have spurred the exploration and utilization of the ocean's vast …

A survey on blockchain-based trust management for Internet of Things

Y Liu, J Wang, Z Yan, Z Wan… - IEEE internet of Things …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) aims to create a vast network with billions of things that can
seamlessly create and exchange data, establishing intelligent interactions between people …

DePTVM: Decentralized pseudonym and trust value management for integrated networks

G Liu, Z Yan, D Wang, H Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Evaluating and sharing user equipment (UE) trust across multiple network domains can
greatly support security and trust management of future integrated heterogeneous networks …

Trustguard: Gnn-based robust and explainable trust evaluation with dynamicity support

J Wang, Z Yan, J Lan, E Bertino… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Trust evaluation assesses trust relationships between entities and facilitates decision-
making. Machine Learning (ML) shows great potential for trust evaluation owing to its …

A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks

Y He, G Han, A Li, T Taleb, C Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Underwater acoustic sensor networks (UASNs) have been widely deployed in many areas,
such as marine ranching, naval applications, and marine disaster warning systems. The …

RTE: Rapid and Reliable Trust Evaluation for Collaborator Selection and Time-Sensitive Task Handling in Internet of Vehicles

J Chen, X Wang, XS Shen - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
By enabling connectivity and collaboration among moving vehicles, Internet of Vehicles
(IoV) is expected to bring dramatically improved road safety and traffic efficiency. With limited …

A three-factor based trust model for anonymous bacon message in VANETs

S Zhang, R He, Y Xiao, Y Liu - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
The periodic beacon message is one of the most common messages in vehicular ad hoc
networks (VANETs) and plays an important role in enhancing road safety. To protect the …

TETES: Trust Based Efficient Task Execution Scheme for Fog Enabled Smart Cities

AN Alvi, B Ali, MS Saleh, M Alkhathami, D Alsadie… - Applied Sciences, 2023 - mdpi.com
Quality lifestyle leads to increasing trends in smart cities by offering modern communication
and information technologies. Smart cities offer multiple applications with smart …