A Data Security Control Method for Belt and Road Language Resource Libraries Based on Role-Based Access Control and Isolation Forest

This paper addresses the issues of language resources and their data security challenges under the Belt and Road Initiative. By analyzing the current state of language resource development and the associated security challenges, it proposes an integrated security algorithm combining Role-Based Access Control (RBAC) and Isolation Forest anomaly detection. The approach establishes a comprehensive security mechanism which effectively prevents unauthorized access and data from leaking. From this paper, the logical structure and mathematical formula of the algorithm are described at length to improve the security of language resources in the process of cross-border transmission and use. The experimental results show that this method has high security and stability in practical application, and also provides a new solution to the security management of the "Belt and Road" language resources.