Secure Data Sharing Algorithm for Privacy Protection of Industrial Internet

With the integration of artificial intelligence, 5g and cloud computing technologies, the development direction of industrial Internet tends to be more intelligent and digital. The privacy protection and security sharing methods of equipment production data are very important. In the face of a large number of sensitive industrial control data uploaded to the cloud, there are great security risks using the traditional plaintext or symmetric encryption transmission methods. This paper proposes a privacy protection and safe and efficient data sharing algorithm for the industrial Internet. The fog computing layer is introduced between the sensing layer and the cloud of the industrial Internet to perform some intensive computing, such as aggregation and processing of collected data Re-encryption and decryption, mutual authentication and trust relationship are established between the sensing layer devices. Only the devices in the authorization list can access the shared data, which achieve confidentiality and security of end-to-end data sharing. The fog computing layer uploads the data to the cloud after storing and computing, reduces the computing and communication overhead, and reduces the trust and dependence on the cloud platform. The algorithm can solve the semi trusted problem of cloud centralized database and realize the secure sharing of data. The experimental results show that the algorithm has less communication and computing overhead, can effectively reduce the transmission delay and improve the efficiency.