Privacy Data Protection Scheme of Industrial Field Equipment Based on Fully Homomorphic Encryption
Xiao Feng, Jin Wang, Wei Min, Chang Liu, Vanqui Le, Jiangpei Xu · 2023
With the increasing value of industrial data, it has become an important demand to effectively protect the security of industrial network data. In the edge cloud collaborative environment of industrial Internet, how to transmit and process private data to avoid exposure and tampering caused by attacks is an urgent problem to be solved. The privacy data security of industrial field equipment is the basis of creating a secure environment for industrial edge computing. Therefore, how to ensure the security of private data of industrial field equipment, resist attacks of attackers and avoid privacy data leakage has become a research hotspot. This paper designs a privacy data protection method for industrial field equipment based on fully homomorphic encryption, and builds a test simulation platform to verify the proposed method. The results show that this method can effectively protect the privacy data of field equipment according to the sensitivity of the industrial field equipment data to the edge gateway and industrial cloud platform.