Trust Management in the Internet of Vehicles

Adnan Mahmood, Michael Sheng, Wei Emma Zhang, Sira Yongchareon

• Publisher: Chapman and Hall/CRC
• Year: 2023
• Print ISBN: 9781032429502
• eBook ISBN: 9781003826118
• Topic: Computer Science
• Subtopic: Cyber Security
• Index: Computer Science

The Internet of Vehicles (IoV) is referred to as an efficient and inevitable convergence of the Internet of Things, intelligent transportation systems, edge / fog and cloud computing, and big data, all of which could be intelligently harvested for the cooperative vehicular safety and non-safety applications as well as cooperative mobility management. A secure and low-latency communication is, therefore, indispensable to meet the stringent performance requirements of the safety-critical vehicular applications.

Whilst the challenges surrounding low latency are being addressed by the researchers in both academia and industry, it is the security of an IoV network which is of paramount importance, as a single malicious message is perfectly capable enough of jeopardizing the entire networking infrastructure and can prove fatal for the vehicular passengers and the vulnerable pedestrians.

This book thus investigates the promising notion of trust in a bid to strengthen the resilience of the IoV networks. It not only introduces trust categorically in the context of an IoV network, i.e., in terms of its fundamentals and salient characteristics, but further envisages state-of-the-art trust models and intelligent trust threshold mechanisms for segregating both malicious and non-malicious vehicles. Furthermore, open research challenges and recommendations for addressing the same are discussed in the same too.

Table of contents

• Cover Page
• Half-Title Page
• Title Page
• Copyright Page
• Dedication Page
• Contents
• Preface
• Authors
• List of Figures
• List of Tables
• 1 Introduction
• 2 Trust Management Meets the Internet of Vehicles
• 3 Trust – IoV: A Distributed Trust Management System for Misbehavior Detection in the Internet of Vehicles
• 4 Towards Secure and Resource Efficient IoV Networks: A Hybrid Trust Management Approach
• 5 Conclusion
• Index