Guest Editorial: Privacy, Trust and Reputation Management in Internet of Vehicles (IoV)

The emergence of the Internet of vehicles (IoV) in recent years holds great potential for enhancing the user experience by introducing more sophisticated services that do everything from guaranteeing the user's safety to enhancing their comfort. Vehicles, people, and roadside infrastructure all play important roles in building I0V ecosystem. In addition, a wide variety of communication methods coexist to guarantee the IoV's connectivity and stability. This multiplies the attack surface of the ecosystem and introduces new privacy, trust, and reputation concerns as a direct result of its variety. Due to the widespread nature of the IoV, it is imperative that services be privy to and able to incorporate concerns over user privacy. To protect passengers, drivers, and pedestrians from the dangers of insider attacks—in which communications from authorized users are tampered with or manufactured by malevolent organizations. Multiple variables are utilized to define peer-to-peer exchanges, and this information is then used to make a well-informed decision about whether or not to trust the vehicle in question. One typical method of indicating how much certain characteristics matter is to use a weighting factor. The quantities of the weighting factors are often set manually because there are no influencing variables taken into consideration when doing so. In accordance with this computed criterion, the peer vehicles are then categorized as either trustworthy or not. The use of adversary models in conjunction with trust management models to counter different kinds of insider attacks has been the subject of study. Adversary models help in identifying potential attackers, while trust management models help in determining the level of access and privileges that an individual should have based on their trustworthiness. The combination of these two models can improve the security of a system against insider attacks. This Special Issue (SI) is an effort to tackle some of these issues. The SI includes contributions from experts in the field and aims to provide insights and solutions to the challenges faced in the area of privacy, trust and reputation in IoV. It also highlights potential solutions and areas for future research.