Privacy Management in Social Internet of Vehicles: Review, Challenges and Blockchain Based Solutions

Abstract

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.

Authentication Protocols in Internet of Vehicles: Taxonomy, Analysis, and Challenges

“…The need of an hour is to determine a privacy mechanism on SIoV that guards various dimensions of privacy of user, his/her behaviour, habits or actions, location and space, thoughts and feelings, data generated by himself/herself, communication and association considering the factors like communication technologies, architecture of the paradigm, preferences of the users, social relationships, inter operability and mobility. The authors in [94] presented and analyzed all the layers of the paradigm including their issues and solutions to preserve privacy throughout SIoV. Their work provided blockchaining as the concept to safeguard privacy in SIoV to protect several dimensions of privacy.…”

Secure Authentication and Key Management With Blockchain in VANETs

“…Note that the extended blockchain-based anonymous reputation system (BARS) is developed, which simultaneously adopts direct historical interactions and indirect opinions about vehicles. Thereafter, Butt et al discussed the challenges and issues on blockchain-based privacy management in social internet of vehicle (SIoV) [35]. As for SDN-enabled 5G-VANETs in promising ITS environment, decentralized blockchain framework [33] is exploited for real time cloud-based trust management.…”

“…With its prominent advantages in decentralized data sharing, blockchain can be exploited in various Internet of thing (IoT) scenarios. Currently, the blockchain networks can be elaborated into four types, including the public blockchains, private blockchains, hybrid blockchains, and consortium blockchains, all of which have been applied to diverse communication circumstances [35]. Specially, the consortium blockchains allocate the preselected user group to establish decentralized paradigms for collaborative data sharing, thus have high potential for deployment in V2V group communications.…”

Fog computing security and privacy for the Internet of Thing applications: State‐of‐the‐art

“…These services will help to establish secure communication channels among these components even if they belong to different security domains. Provide fundamental security mechanisms required by the virtualization infrastructure, such as which virtualization services to use, control which resources they can access, and so on. Monitor the status of infrastructure using situational awareness mechanisms. Fog computing must provide privacy services for both IoT devices and the service providers since they are part of the Fog environment. Fog should have digital evidence management (Forensics). Blockchain technology can be highly helpful in the Fog since it enables transparent and verifiable evidence and enhances trust and data sharing decisions. Recently, a tremendous number of publications claim that blockchain can mitigate the impact of many of the above privacy and security challenges (eg, 50,73,76,80‐86 ). Their findings will be included in the following discussion.…”