Research On Dynamic Access Control Model Of Distributed Network Under Big Data Technology

The traditional distributed network dynamic access control management model has the defects of poor control management efficiency and poor expansibility. In order to solve the above problems, the dynamic access control management model of the distributed network is constructed by the large-data technology. According to the requirement of distributed network dynamic access control management model, the mining model is constructed. Based on this model, the direct trust value and indirect trust value are calculated by big data technology, and the final trust value is obtained by combining them. Based on the final trust value obtained, the dynamic access control management process is formulated and executed to realize the control and management of distributed network dynamic access. The simulation results show that compared with the traditional distributed network dynamic access control management model, the distributed network dynamic access control management model greatly improves the efficiency and expansibility of the model. It fully shows that the distributed network dynamic access control management model has better control and management performance.