Trust 2022 : Call for Full Chapters : Springer Book on Internet of Vehicle: Trust and Reputation Management
Call For Papers
Call for Full Chapters
Springer Book on Internet of Vehicle: Trust and Reputation Management
Full chapter Submission : Nov 30, 2022
Notification of Acceptance : Dec 15, 2022
Revision/Final Chapter : Dec 31, 2022
Submission Method: Send full chapter by e-mail at firstname.lastname@example.org with the subject Full chapter: IoV-Trust
To be published by Springer, under series " under the book series " Studies in Systems, Decision and Control" https://www.springer.com/series/13304 The book is Indexed by SCOPUS, DBLP, WTI Frankfurt eG, zbMATH, SCImago and Web of Science(BCI)
Over the last ten years, scholars and experts in intelligent transportation systems (ITS) have paid growing attention to pioneering new technological breakthroughs in the Internet of Vehicles (IoV) combined with the concept of trust, wherein vehicles operate with a conviction in peer vehicles in the pursuit of maintaining safe and efficient traffic flows. Various research studies have employed trust management methods in the hope of preventing various insider attacks, in which legitimate users' communications are changed or falsified by malevolent organizations, putting the lives of passengers, drivers, and vulnerable pedestrians in jeopardy. A variety of contributing parameters describing the exchanges among these cars are gathered over the process of vehicles establishing insights into peer vehicles to make an informed decision as to whether to trust a target vehicle. The importance of these contributing elements is often expressed by assigning a weighting factor to each of them. The numbers provided to these weighting elements are frequently established manually, i.e., they are predetermined and do not take any influencing parameters into account. Additionally, based on the computed trust score, the peer vehicles are divided into honest and dishonest vehicles in line with a predetermined threshold. In addition, the use of adversary models as a supplement to trust management models to combat insider attack variations has received much attention in academia. As a result, this book examines the current state of the art in vehicular trust management, concentrating on weight quantification, peer recommendation, threshold quantification, and misbehaviour detection, among others. In addition, an overall IoV architecture, elements under the idea of trust, and threats linked to the IoV, as well as open research challenges in the topic domain, are provided.
The topics covered in the edited book will include, but not limited to:
• Fundamental of Internet of Vehicles.
• Architecture of Internet of Vehicles.
• Trust Management in Internet of Vehicles
• Conventional Trust Models
• Blockchain Based Trust Models.
• Machine Learning based Trust Models.
• Cryptography-based Trust Models.
• Credit based system.
• Trust prediction and Trend Analysis
• Vehicle recommendations and rating algorithms
Dr. Mohammad Ayoub khan, Dr. Abdullah Alharthi, Dr. Mohammed Alshahrani, Dr. Ali Alqazzaz
University of Bisha, Saudi Arabia
Dr. Qiang Ni, Lancaster University, Lancaster, U.K.
Dr. Ayoub Khan, Ph.D., Senior Member IEEE, Prince2, CSM, SAFE Agilist
Associate Research Professor, Department of Computer Science
College of Computing and Information Technology,
University of Bisha, Bisha 67714, Kingdom of Saudi Arabia
Associate Editor, IEEE Transaction on Intelligent Transaction System
Associate Editor, IEEE Access
Associate Editor, Journal of Intelligent & Fuzzy System, Netherlands
Academic Editor, Security and Communication Network, Hindawi
Scientific and Scholarly Editor, eContent Pro Int., USA