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首页> 外文期刊>International journal of web services research >Privacy Protection for Data-Driven Smart Manufacturing Systems
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Privacy Protection for Data-Driven Smart Manufacturing Systems

机译：数据驱动的智能制造系统的隐私保护

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摘要

The Industrial Internet of Things (IIoT) is a new industrial ecosystem that combines intelligent and autonomous machines, advanced predictive analytics, and machine-human collaboration to improve productivity, efficiency and reliability. The integration of industry and IoT creates various attack surfaces and new opportunities for data breaches. In the IIoT context, it will often be the case that data is considered sensitive. This is because data will encapsulate various aspects of industrial operation, including highly sensitive information about products, business strategies, and companies. The transition to more open network architectures and data sharing of IoT poses challenges in manufacturing and industrial markets. The loss of sensitive information can lead to significant business loss and cause reputational damage. In this paper, the authors discuss emerging issues that are related to IIoT data sharing, investigate possible technological solutions to hide sensitive information and discuss some privacy management techniques in smart manufacturing systems.
机译：工业物联网（IIoT）是一个新的工业生态系统，它结合了智能和自主机器，高级预测分析以及人机协作，从而提高了生产率，效率和可靠性。行业和物联网的集成为数据泄露创造了各种攻击面和新机会。在IIoT环境中，通常将数据视为敏感数据。这是因为数据将封装工业运营的各个方面，包括有关产品，业务策略和公司的高度敏感的信息。向更开放的网络架构和物联网数据共享的过渡给制造业和工业市场带来了挑战。敏感信息的丢失会导致重大的业务损失并损害声誉。在本文中，作者讨论了与IIoT数据共享相关的新兴问题，研究了隐藏敏感信息的可能技术解决方案，并讨论了智能制造系统中的一些隐私管理技术。

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