UCONDFNND - an Effective Delegation Model

摘要

In the distributed network environment, delegation is increasingly necessary, so a delegation model based on UCON and Dynamic Fuzzy-Neural-Network (UCONDFNND) is proposed. The model considers the delegation and the credibility. The delegation solves scalability problem of distributed authorization, such as distracted implementation of a task. The delegation based on UCON makes the process of access control with dynamicity, intelligence and security, so it adapts to the need of distributed network. The credibility, which is introduced into UCON, can effectively control the size of rights and make the authorization process flexible. It is accurate and intelligent that the model uses Dynamic Fuzzy-Neural-Network to calculate credibility. This arithmetic not only has strong reasoning ability, but also has good robustness. And the self-learning mechanism of neural network enhances the adaptive function of network.