Data access control method of cloud network secure storage under Social Internet of Things environment

The reliability interception of network attack is realized by data access control in network security storage area, and the data security in network is guaranteed. The traditional free link decentralized control model is used to control the data access in the secure storage area of the network. The data access control system of network security storage area includes communication library, protocol base, core control library and resource library. The association rule feature extraction method is used to design the data mining and attack detection algorithm of the network security storage area, which is the core of the data access control system software in the network security storage area. The kernel of the optimal interface in the network security storage area is set up by SDICmdCon register, and the software development of data access control in the network security storage area is realized by the adaptive partition weighted interface scheduling under the embedded Linux environment. This paper considers the novel perspective the data access control method of cloud network secure storage under Social Internet of Things environment. The simulation results show that the model is accurate for data mining and attack detection in the network security storage area, and the security of data access control is improved, which ensures the network security 21% higher than the traditional methods.