Abstract
This article offers multi-domain privacy and access control. For safe and flexible resource access, we recommend trust mechanisms, RBAC, and ATBAC. The differentiated privacy techniques in our design protect sensitive data. We build classes and connections that represent access control and privacy protection’s complexity to support our suggested system’s implementation and assessment. Access Control Match Score, Privacy Constraint Score, Cross-Domain Enforcement Rate, and User-Role-Resource Graph Density have positives and downsides, according to our study. The proposed system excels in policy enforcement, trust, and privacy with a dense role-resource structure, optimal privacy, best access match, and robust cross-domain enforcement. Access rates and trust levels and how privacy noise affects query results are also presented. Experimental findings show that the suggested model outperforms others. Over the best baseline, it increases ABAC match success by 18.5%, RBAC approval rate by 17.1%, and access throughput by 13.6%. It also reduces differential privacy noise by 20%, improving the privacy-utility tradeoff, and has a good connection (0.87) between trust measures and access choices.
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