Vehicular networks, as one of the promising applications in IoT, have changed the direction of travel plans, road safety, and entertainment. However, these networks can face serious security problems due to high speed, adversary attacks, and open nature of the network [4]. The adversaries can impede vehicular services and interrupt the whole traveling. For example, since the vehicles are driven by humans, there might be a chance of selfishness, and therefore vehicle performance is not equal. Meanwhile, the disseminated information from these vehicles in the VIoT need to be trustworthy, and this important issue should be borne in mind. If the trustworthiness of the particular vehicle is unknown, we can face the scenarios as depicted in Figure 1. In Figure 1a, a vehicle makes subjective assessment using on-board sensors that there is worksite ahead, so it informs the road-side unit (RSU). If the RSU knows that this information is received from the trusted vehicle, it will broadcast this information. In Figure 1b, the RSU gets the conflicting news about road divergence. If the RSU is unable to filter the received information as genuine or not, we can have a scenario as depicted in Figure 1c. In addition, previously proposed schemes based on public key infrastructure (PKI) in VIoT require central cloud services. Neither, it can be solved by any privacy-preserving scheme to authenticate the legitimacy of shared data [5,6]. Instead, incorporating trust can help us in building reputation system between unknown vehicle users and to evict malicious ones within its transmission range [7,8]. Figure 1: Traffic monitoring results in VIoT (**a**) Result of trust information which makes vehicles divert timely. (**b**) Conflicting news from two vehicles. (**c**) Result of unfiltered information from untrusted vehicles. These new paradigms can be a unique opportunity for news sharing, emergency reports, and road safety for the connected vehicles in the VIoT technologies [1; 2]. Some of the interesting use cases in vehicular internet of things can be found at ([[https://www.biz4](https://www.biz4) intellia.com/blog/iot-applications-in-automotive-industry/]([https://www.biz4](https://www.biz4) intellia.com/blog/iot-applications-in-automotive-industry/))-([[https://blog.westerndigital.com/top-9-iot-use-cases/](https://blog.westerndigital.com/top-9-iot-use-cases/)]([https://blog.westerndigital.com/top-9-iot-use-cases/](https://blog.westerndigital.com/top-9-iot-use-cases/))). A possible scenario for information sharing among communicated devices in the future vehicular network is depicted in Figure 2. Meanwhile, the disseminated information from these integrated devices such as vehicles or RSUs needs to be trustworthy. If the false alarm and security attacks [4; 7] remains undetected, then there is a chance of traffic jam or even worse false information dissemination. In addition, many future promising applications in ITS can be supported by a hybrid structure as described in [8; 9]. This hybrid structure contains trusted authorities (TA), RSUs, and vehicles on the road. However, it can be a crucial task to provide this central architecture everywhere on the whole journey. Generally, vehicles on the road may travel in close proximity by sharing different services among them. When a requesting vehicle wants to relay a message to the target vehicle, the question here is how to ensure the trustworthiness of the connecting vehicles as a truster and trustee in this VIoT. One solution is to incorporate trust management ideas among neighbor vehicles [10], which allows them to authenticate each other based on their trust score and finally to evict the malicious ones. Before relaying or receiving some traffic and safety information, a vehicle must know the credibility of the targeted vehicle. In this situation, a user vehicle establishes an efficient trust assessment and ignore misleading information sent by adversaries.