工业互联网数据安全隐私保护技术概述

Overview of Industrial Internet Data Security Privacy Protection Technology

工业互联网的蓬勃发展使得数据体量日益增长,对数据安全的需求同样也越来越高。面对日渐严峻的数据隐私安全威胁,各类隐私保护技术应运而生,如何针对工业互联网数据的特征属性研究高效且满足不同等级安全性的隐私保护方案成为当下的研究热点。本文简要介绍了工业互联网数据隐私保护相关技术,并且针对不同的工业互联网应用环境,总结了五类隐私保护方法,分别是基于数据敏感度、基于数据干扰、基于安全多方计算、基于硬件增强以及基于访问模式隐藏的隐私保护方法,并展望了工业互联网数据隐私保护的新方向。

The vigorous development of the industrial Internet has made the volume of data growing,and the demand for data security is also getting higher and higher.Faced with the increasingly severe threats to data privacy security,various privacy protection technologies have emerged as the times require.How to research efficient privacy protection schemes that meet different levels of security based on the characteristic attributes of industrial Internet data has become a current research hotspot.This paper briefly introduces the related technologies of industrial Internet data privacy protection.For different industrial Internet application environments,it summarizes five types of privacy protection based on data separation,data interference,secure multi-party computing,hardware enhancement,and access mode hiding.Looking forward to the new direction of industrial Internet data privacy protection.