🤖 AI Summary
Traditional access control models, such as Role-Based Access Control (RBAC), struggle to meet complex security requirements due to rigid role definitions, insufficient fine-grained accountability, and limited adaptability. This work proposes the Interaction-Provenance-Based Access Control (IPBAC) model, which uniquely integrates deep interaction provenance into the access control mechanism. By capturing contextual metadata—such as subjects, timestamps, and operational contexts—from entity interactions, IPBAC enables dynamic policy adjustment and strong traceability. This approach overcomes the limitations of static policies, significantly enhancing defenses against unauthorized access and providing verifiable, fine-grained audit trails that support regulatory compliance and forensic analysis.
📝 Abstract
Interaction provenance refers to the documentation of every action and interaction within a system, including detailed metadata such as the actor’s identity, the time the action occurred, and the surrounding context of the interaction [1] . This concept is important for understanding the history and origins of data and processes, providing a transparent and traceable record of all activities within a system specially privacy-aware systems.