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大数据驱动的工业互联网安全与隐私保护策略研究

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迅速崛起的工业互联网为制造业带来前所未有的机遇,也带来日益严峻的安全风险和隐私保护问题.文章深入剖析工业互联网在安全和隐私保护方面的较多问题,并指出随着工业互联网规模扩大和数据量增加所带来的安全挑战.为解决工业互联网存在问题及面临的挑战,提出数据安全管理、网络防护手段、实体安全措施等安全策略体系,详细阐述数据隐私保护技术、隐私合规性在解决这些问题中发挥的巨大作用,以期为工业互联网安全发展提供系统化的参考.
Research on Security and Privacy Protection Strategies Driven by Big Data in Industrial Internet
The rapidly rising industrial Internet has brought unprecedented opportunities to the manufacturing industry.At the same time,it has also brought increasingly serious security risks and privacy protection issues.This research deeply analyzes many problems of industrial Internet in terms of security and privacy protection,and points out the security challenges brought by the expansion of industrial Internet scale and the increase of data volume.In order to solve the above problems and challenges,a security policy system covering data security management,network protection means,entity security measures and other aspects is proposed.The huge role played by data privacy protection technology and privacy compliance in solving these problems is described in detail,providing systematic guidance for the security development of industrial Internet.

big dataindustrial Internetsecurity defenseprivacy protectioncompliance management

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中通服咨询设计研究院有限公司,江苏南京 210019

大数据 工业互联网 安全防御 隐私保护 合规性管理

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(6)
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