The Internet of Things (IoT) paradigm has integrated the sensor network silos to the Internet and enabled the provision of value-added services across these networks. These smart devices are now becoming socially conscious by following the social Internet of Things (SIoT) model that empowers them to create and maintain social relationships among them. The Social Internet of Vehicle (SIoV) is one application of SIoT in the vehicular domain that has evolved the existing intelligent transport system (ITS) and vehicular ad-hoc networks (VANETs) to the next phase of Intelligent by adding socializing aspect and constant connectivity. SIoV generates a massive amount of real-time data enriched with context and social relationship information about vehicles, drivers, passengers, and the surrounding environment. Therefore, the role of privacy management becomes essential in SIoV, as data is collected and stored at different layers of its architecture. The challenge of privacy is aggravated because the dynamic nature of SIoV poses a major threat in its adoption. Motivated by the need to address these aspects, this paper identifies the challenges involved in managing privacy in SIoV. Furthermore, the paper analyzes the privacy issues and factors that are essential to be considered for preserving privacy in SIoV environments from different perspectives including the privacy of a person, behavior and action, communication, data and image, thoughts and feelings, location and space, and association. In addition, the paper discusses the blockchain-based solutions to preserve privacy for SIoV. INDEX TERMS Privacy management, blockchain, social Internet of Vehicles, Internet of Vehicles, social Internet of things, Internet of things.

The Internet of things is the next stage in the evolution of the Internet that is being materialized with the integration of billions of smart objects. The state-of-the-art communication technologies have enabled the previously isolated devices to become an active part of the Internet. This constant connectivity opens new avenues for novel applications such as the realization of social Internet of things and its subdomain the social Internet of vehicles. Socializing requires sharing of information that entails trust, especially in an open and broad social environment. This article highlights the key factors involved in conceptualizing an efficient trust model for social Internet of vehicles. Furthermore, it focuses on the unique challenges involved in designing the trust models for social Internet of vehicles. Several trust models exist in literature; however, most of the existing trust models are specific to their domains, for example, Internet of things, social Internet of things, or general vehicular networks. This article presents a brief review of the trust models that have the potential to be implemented in Social Internet of vehicles. Finally, the authors present an overview of how trending concepts and emerging technologies like blockchain and fog computing can assist in developing a trust-based social Internet of vehicles model for high-efficiency, decentralized architecture and dynamic nature of vehicular networks.

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