Dynamic access control model based on user access behavior in the Internet of Things environment

Abstract

Aiming at the problem that the trust-based access control model cannot dynamically adapt to the changes of the network environment in the Internet of Things (IoT) environment, a dynamic access control model based on data security is proposed. Firstly, the method of association rules is used to analyze the user's historical access behavior, extract the user's frequent access path and create an access behavior database. Then, based on real-time access behavior, the real-time status information of users is obtained, and a spatiotemporal sensitivity credibility evaluation module is constructed by using “spatiotemporal slicing”. Finally, the dynamic access authorization management module and the access control rule module are combined to realize dynamic access control based on user access behavior. Experiments show that the proposed model has higher security than the traditional trust-based access control model.