Multilevel Fuzzy Inference System for Risk Adaptive Hybrid RFID Access Control System

Traditional access control systems lack the ability to cope with dynamic environments where several factors can affect the decision-making process. On the contrary, Risk-based access control systems offer a preeminent alternative where multiple risk factors sway the access control decision. Nonetheless, risk is often measured qualitatively, and is subject to uncertainty, thus, making it susceptible to underestimating or overestimating its value. Conversely, Fuzzy Inference System has been proven effective in solving problems where uncertainty has a dominant influence over the outcomes, making it an excellent candidate to solve the aforementioned issue. This study improves on the authors' previous work in which risk adaptive hybrid RFID access control system is proposed. In this study, a multilevel fuzzy inference system is designed as a supplementary risk assessment model where risk is estimated using fuzzy logic controller. The results showed that the proposed design has significantly improved the overall risk calculation process.