在工业数据空间建立信任的生态系统和物联网设备架构

G. Brost, Manuel Huber, Michael Weiß, Mykola Protsenko, J. Schütte, Sascha Wessel
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引用次数: 16

摘要

工业计算领域最新和最突出的进展包括网络物理设备的互联性不断增强,以及跨公司领域交换数据的复杂应用程序的种类不断增加。在这种情况下,数据成为有价值的商业资产和贸易商品。工业数据空间是一个为工业设计的平台,允许组织进行有效的数据交换和交易。这些平台不可避免地带来了新的安全风险,包括建立信任、通信安全、数据使用控制或参与系统的完整性。我们定义了这些平台在不可信环境中运行的关键安全要求,并为整个生态系统提供了一个整体的安全架构,包括参与网络物理设备的架构的安全设计和实现。在这些设备上,我们允许对特定于应用程序的服务进行受控和隔离的执行,以便在组织之间收集、处理和交换数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Ecosystem and IoT Device Architecture for Building Trust in the Industrial Data Space
The most recent and prominent advances in industrial computing include the growing interconnectivity of cyber-physical devices, as well as the increasing variety of complex applications exchanging data across company domains. In this context, the data becomes a valuable business asset and a trade good. The Industrial Data Space is a platform designed for the industry, allowing organizations the efficient data exchange and trade. The possibilities such platforms enable inevitably come along with new security risks regarding the establishment of trust, communication security, data usage control, or the integrity of participating systems. We define the key security requirements for the operation of such platforms in untrusted environments and present an overall security architecture for the whole ecosystem including the secure design and implementation of an architecture for the participating cyber-physical devices. On these devices, we allow for the controlled and isolated execution of services for application-specific gathering, processing and exchanging of data between organizations.
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