In-vehicle communication cyber security: challenges and solutions

RS Rathore, C Hewage, O Kaiwartya, J Lloret - Sensors, 2022 - mdpi.com
In-vehicle communication has become an integral part of today's driving environment
considering the growing add-ons of sensor-centric communication and computing devices …

A survey on trust models in heterogeneous networks

J Wang, Z Yan, H Wang, T Li… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Heterogeneous networks (HetNets) merge different types of networks into an integrated
network system, which has become a hot research area in recent years towards next …

Tfl-dt: A trust evaluation scheme for federated learning in digital twin for mobile networks

J Guo, Z Liu, S Tian, F Huang, J Li, X Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Due to the distributed collaboration and privacy protection features, federated learning is a
promising technology to perform the model training in virtual twins of Digital Twin for Mobile …

A machine-learning-based data-centric misbehavior detection model for internet of vehicles

P Sharma, H Liu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) boosts road safety, efficiency, and infotainment by connecting
vehicles to form the Internet of Vehicles (IoV). Specifically to safety, IoV complements …

A survey of trust management in the Internet of Vehicles

A Hbaieb, S Ayed, L Chaari - Computer Networks, 2022 - Elsevier
In recent years, the emergence of the Internet of Vehicles (IoV) aims to enhance the users'
quality of experience through proposing more sophisticated services ranging from …

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 …

Machine learning for security in vehicular networks: A comprehensive survey

A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …

A comprehensive survey of v2x cybersecurity mechanisms and future research paths

R Sedar, C Kalalas, F Vázquez-Gallego… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Recent advancements in vehicle-to-everything (V2X) communication have notably improved
existing transport systems by enabling increased connectivity and driving autonomy levels …

AIT: An AI-enabled trust management system for vehicular networks using blockchain technology

C Zhang, W Li, Y Luo, Y Hu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Currently, connected vehicles have gradually stepped into our daily lives, and they generally
rely on vehicular networks to generate and exchange traffic-related messages to improve …

A decentralized location privacy-preserving spatial crowdsourcing for internet of vehicles

J Zhang, F Yang, Z Ma, Z Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of Internet of Vehicles (IoV), vehicle-based spatial
crowdsourcing (SC) applications have been proposed and widely applied to various fields …