Research on Trust Evaluation Model for Vehicle-to-Grid Interaction Based on Zero Trust Architecture

During vehicle-to-grid (V2G) interactions, information is transmitted across multiple platforms, posing significant security risks to both information transmission and network boundaries. Traditional evaluation techniques, which rely on fixed permission assignments and predefined rules, struggle to adapt to scenarios characterized by a large number of vehicles, frequent changes in network topology, and diverse service demands. This paper proposes a trust evaluation model based on zero trust architecture. By introducing multidimensional user attribute sets, platform attribute feature sets, and user recommendation attributes, the model dynamically evaluates the trustworthiness of users and platforms. It uses trust values to dynamically authorize access subjects and assess platform reliability. This approach enhances the system's ability to identify malicious behavior and improves the security of data resources and transmission in V2G interactions. Experimental results indicate that the proposed zero trust-based trust evaluation model significantly enhances the security and dynamic responsiveness of V2G interactions.