Cross-domain Secure Sharing Algorithm of Internet of Things Privacy Data Based on Artificial Intelligence

Aiming at the problem of security hidden trouble in the process of sharing Internet of Things privacy data, which is restricted by long-distance and high-speed cross-domain, this paper adopts artificial intelligence technology to study an information security sharing method suitable for the Internet of Things environment.This paper intends to use a parallel deep convolutional neural network based on machine learning to mine the privacy information of IoT (Internet of Things) users and apply it to intelligent data mining.After mining the privacy data of the Internet of Things, the cross-domain security sharing algorithm based on masterslave chain puts forward a cross-domain sharing model framework, designs a cross-domain access mechanism based on smart contracts, and realizes the cross-domain security sharing of privacy data through the cross-domain security sharing scheme of the Internet of Things according to the cross-domain access mechanism.The experimental results show that the average F-measure result of the proposed method in IoT privacy data mining can reach 0.9, and the variance test result is always below 0.17; The throughput is maintained at around 190TPS, storage overhead is reduced by 40%, communication frequency is less than 30 times, encryption and decryption times are 2587s and 3658s respectively, and it has good data security sharing ability.