The Internet of Vehicles (IoV) is an emerging technology that enhances traffic security and transportation efficiency by enabling smart, connected vehicles to communicate and exchange messages. IoV networks are a key component of intelligent transportation systems in smart cities. However, these networks are vulnerable to malicious vehicles that disseminate deceptive messages or impersonate legitimate entities, which compromises network security. These adversarial vehicles jeopardize the integrity and availability of the IoV network, exposing it to various security threats, including both insider and outsider attacks. Such attacks can severely undermine the trust and reliability of communication between legitimate vehicles. To address these challenges, we propose TMSU-IoV, a UAV-assisted trust management scheme that integrates identity authentication technique and trust evaluation mechanism to ensure secure communication of connected vehicles in IoV networks. To counteract outsider attacks, we introduce a certificateless signature-based authentication method that guarantees the authenticity of messages exchanged between vehicles and UAVs. To mitigate insider threats, we propose a quality of service (QoS)-based trust evaluation mechanism. This mechanism consists of a prior trust evaluation method and a posterior trust evaluation method, designed to enhance both the credibility and timeliness of trust evaluation for connected vehicles. Formal security analysis confirms that the TMSU-IoV effectively resists a variety of insider and outsider attacks. Performance evaluation experiments demonstrate that the TMSU-IoV can accurately assess the trust levels of connected vehicles and outperform traditional trust evaluation methods.

The integration of the space–air–ground-integrated network and the Internet of Vehicles (IoV) enables the IoV to achieve full network coverage and better network performance. However, the large scale of the network and the complex cooperation mechanism make the credibility of the nodes in the network and the service delivery questioned. In this article, the hardware trusted module is used as the root of trust to build the trust chain and the trusted running environment and provide protection and trusted state attestation for services. In order to overcome the large-scale and high-concurrency performance bottlenecks in the remote verification of trusted states in the IoV, a novel batch remote approach for trusted states is proposed. The simulation results show that the proposed approach can effectively attest to the trusted state of each network node and virtual service in the IoV and enhance the trustworthiness of the network.

The Internet of Things (IoT) offers a wide variety of benefits to our daily lives in many ways, ranging from smart wearable devices to industrial systems. However, it also brings well‐known security and compliance concerns, especially in the physical layer. In addition, due to numerous IoT architectures which have been developed and deployed based on the cloud, the security and compliance of IoT depend on the cloud thoroughly. In this paper, a secure and compliant continuous assessment framework (SCCAF) is proposed to evaluate the security and compliance levels of cloud services in life‐cycle. The SCCAF facilitates cloud service to customers to select an optimal cloud service provider (CSP) which satisfies their desired security requirements. Moreover, it also enables cloud service customers to evaluate the compliance of the selected CSP in the process of using cloud services. To evaluate the performance and availability of SCCAF, we carry out a series of experiments with case study and real‐world scenario datasets. Experimental results show that SCCAF can assess the security and compliance of CSPs efficiently and effectively.