Privacy Data Protection Scheme of Industrial Field Equipment Based on Fully Homomorphic Encryption

Feng Xiao, Jin Wang, Min Wei, Chang Liu, Van-Hoan Le, Jiangpei Xu
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引用次数: 1

Abstract

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.
基于全同态加密的工业现场设备隐私数据保护方案
随着工业数据价值的不断增加,有效保护工业网络数据的安全已成为一项重要的需求。在工业互联网的边缘云协同环境下,如何传输和处理私有数据以避免攻击造成的暴露和篡改是一个迫切需要解决的问题。工业现场设备的隐私数据安全是为工业边缘计算创造安全环境的基础。因此,如何保证工业现场设备私有数据的安全,抵御攻击者的攻击,避免私有数据泄露成为研究热点。本文设计了一种基于全同态加密的工业现场设备隐私数据保护方法,并搭建了测试仿真平台对所提方法进行验证。结果表明,根据工业现场设备数据对边缘网关和工业云平台的敏感性,该方法可以有效地保护现场设备的隐私数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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