Call for Articles

Recently, the Internet of Vehicles (IoV) has emerged, which promises to improve the overall quality of the user's experience by offering more sophisticated services that range from ensuring the user's safety to increase the comfort. The IoV ecosystem is complex, heterogenous, and constantly growing. A large number of entities contribute to the construction of its architecture such as vehicles, humans, and roadside units. Furthermore, numerous communication types coexist to assure the connection and continuity of the IoV. In turn, this diversity results in additional privacy, trust and reputation needs that appear more complicated to consider while simultaneously increasing the attack surface of such an ecosystem. Since, the IoV is extremely distributed, services must be aware of and capable of incorporating privacy issues. A variety of research projects have applied trust management strategies to avoid different insider attacks, in which legitimate users' communications are altered or fabricated by malicious organizations, placing the lives of passengers, drivers, and vulnerable pedestrians in danger. Peer-to-peer trades are described using a range of contributing factors, which are used to make an intelligent choice about whether to trust a target vehicle. The weighting factor is a common way of expressing the relative value of the many contributing factors. There are no influencing variables taken into consideration while determining the weighting elements' amounts, which is why they are often set manually. As a result of this computation, the peer vehicles are classified into trustworthy and non-trustworthy vehicles according to a predefined threshold. Many research works have studied the usage of adversary models in conjunction with trust management models as a means of combating insider attack variants.

Thus, this Special Issue covers the present status of privacy, vehicular trust management, focusing on weight quantification, peer recommendation, threshold quantification, and misbehavior detection, among other things.  In addition, an overall IoV architecture, elements under the idea of privacy, trust, and threats linked to the IoV, as well as open research challenges in the topic domain, are provided.

The topics of interest include, but are not limited to:

• Privacy Issues in Internet of Vehicles
• Privacy Preservation Techniques in Internet of Vehicles
• Trust and Reputation Management in Internet of Vehicles
• Trust Architecture of Internet of Vehicles.
• Conventional Privacy, Trust and Reputation Models
• Blockchain Based Privacy, Trust and Reputation Models.
• Machine Learning based Trust Models.
• Conventional Cryptography-based Trust Models.
• Credit and Reward based system for Trust
• Trust Prediction and Trend Analysis
• Vehicle Recommendations and Rating algorithms
• Computational methods for reputation of driver and vehicle

Submission Guidelines

Manuscripts should conform to the IEEE Internet of Things Magazine standard format as indicated in the Information for Authors section of the Article Submission Guidelines. All manuscripts to be considered for publication must be submitted by the deadline through the magazine’s Manuscript Central site. Select “Privacy, Trust and Reputation Management in Internet of Vehicles (IoV)” from the drop-down menu of Topic/Series titles.

Important Dates

Manuscript Submission Deadline: 1 February 2023 (Extended Deadline)
Authors’ Revision Notification Date: 1 March 2023
Revised Manuscript Submission Deadline: 31 March 2023
Final Decision Notification Date: 15 April 2023
Publication Date: June 2023

Guest Editors

Mohammad Ayoub Khan (Lead Guest Editor)
University of Bisha, Saudi Arabia

Cathryn Peoples (Corresponding Guest Editor)
Ulster University, UK

Yingshu Li
Georgia State University, USA

Mehrdad Dianati
University of Warwick, UK

Anna Maria Vegni
Roma Tre University, Italy