FABAC: A Flexible Fuzzy Attribute-Based Access Control Mechanism

Attribute-Based Access Control (ABAC) is a promising approach for addressing intricate management requirements in dynamic and distributed environments. Nevertheless, because of lacking flexible access exception handling mechanism, rigid rules in ABAC influence the resource availability and ultimately the working efficiency. In this paper, we propose a novel fuzzy ABAC model (FABAC) that extends the ABAC with better usability. We introduce the fuzzy mechanism into decision-making process. Based on the membership grades of requests to rules and the spare credits of respective subjects, our framework permits additional requests failing in rule matching, thus enhancing the information flows in business processes. Furthermore, we develop the credit system with history-based recovery mechanism, wherein the subject’s credits and corresponding recovery rate are impacted by the past authorizations on substandard requests, for maintaining the risk of abuse under control. The analysis reveals that our model contributes to attaining better tradeoff between security and usability.