Federated learning (FL) is a distributed machine learning approach that protects user data
privacy by training models locally on clients and aggregating them on a parameter server …

Abstract Unmanned Aerial Vehicle (UAV) Ad-Hoc Networks (UANET) enable collaborative
work among UAVs for versatile task execution, but they face security challenges due to …

Edge devices are positioned on the periphery of cloud environments, serving as agile,
secure, and dependable service providers. Nevertheless, IoT edge devices grapple with …

The advent of the Internet of Vehicles (IoV) has led to a significant surge in data generation
from vehicles, prompting the innovative utilization of data transactions within the IoV …

The Internet of Vehicles (IoV) is a transformative technology extensively employed in
modern intelligent transportation systems. However, managing trust within the IoV presents …

The Internet of Vehicles (IoV) is emerging as a pivotal technology for enhancing traffic
management and safety. Its rapid development demands solutions for enhanced …

针对车联网中车辆与驾驶员信任关系混乱导致的信任偏差问题, 提出了一种基于双层区块链的人
车分离信任管理方案, 构建了由长期驾驶员信誉区块链和临时车辆信誉区块链组成的双层区块链 …

Aiming at the trust bias caused by chaotic trust relationships between vehicles and drivers in
the Internet of vehicles, a driver-vehicle separation trust management scheme based on …