Research On Adaptive Access Control Model In Social Internet Of Things

In recent years,with the research and development of computer network technology,computer applications have penetrated into all aspects of our life and become an indispensable part of our daily life.However,with the increasing number of network application scenarios,the impact of network security incidents is also increasing.Social Internet of things is the integration carrier of social network and Internet of things,and its network feature mechanism is applied in the architecture of each layer of Internet of things.Different types of connected intelligent objects communicate socially and access social data randomly,which puts forward stricter requirements for network security technology.As one of the most important resource protection methods,access control technology has relatively few applications in the social Internet of things.How to realize the rational use of social attributes and effectively integrate it with the traditional Internet of things architecture has become a key issue to ensure the safe operation of the social Internet of things environment.In order to ensure the reasonable implementation of access control technology in the social Internet of things environment,an adaptive fine-grained access control model based on game theory is proposed in this paper.Firstly,static attribute labels are defined,and access control can be implemented directly for some “exclusive target”,while for most other general accounts,label characteristic attributes,and implement access control preliminary authorization by quantifying label similarity.Then,the social attributes are integrated into the model method of game theory to define and integrate,which serves as the basis for the implementation of adaptive adjustment of access control under the social Internet of things,and the game payment matrix is further obtained.According to the game payment matrix,the Nash equilibrium of mixed strategy is calculated to achieve fine-grained partition of access control under the social Internet of things.Finally,an experiment is carried out to verify the adaptive access control method proposed in this paper,which not only effectively simulates the implementation of this method in the social Internet of things,but also proves the correctness and validity of the method.Relevant experimental results show that this method can not only effectively privilege according to the similarity of labels,but also adaptively adjust the privilege policy based on game theory.It further meets the fine-grained partition requirements of access control and ensures the effective implementation of access control in the social Internet of things.