QoC-Aware Access Control Based on Fuzzy Inference for Pervasive Computing Environments

In Pervasive Computing Environments (PCE), existing Context-Aware Access Control (CAAC) models mainly extend the RBAC model to realize the context awareness and take into account the uncertainty of the imperfect context information by excessive constraints of the QoC (Quality of Context) parameters or degrees. To solve the problems, we present a novel QoC-Aware Access Control (QAAC) model which applies fuzzy inference to make authorization decisions. The QoC-awareness is reflected in the modification of the provided context and the fuzzy inference process. Compared with existing work, the proposed model has a more comprehensive utilization of static and dynamic attributes, better adaption to the context dynamicity, feasibility in QoC-awareness and semantic expressiveness.