Research on Application Authorization Control Based on Business Center Services

Abstract

This article analyzes the limitations of traditional authorization in the current situation of insufficient multi-level authorization management capabilities for end consumer applications in business middleware services. Taking the authorization system of business middleware services as a reference, multi-level authorization roles are introduced, and a fine-grained authorization management and authorization management model is proposed. And based on this authorization management model, a risk authorization identification method based on authorization behavior characteristics was explored. An intelligent learning risk authorization control model was proposed, which uses authorization behavior characteristics at all levels as the analysis basis. This enables the system to identify risk authorization actions at all levels, thereby improving the authorization system of business middleware services and achieving full supervision of hierarchical authorization allocation and use. The actual operational data proves that the risk authorization control model proposed in this article can accurately evaluate the risk nature of authorization behavior, and has broad application prospects.