Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

An Ecosystem and IoT Device Architecture for Building Trust in the Industrial Data Space

: Brost, G.S.; Huber, M.; Weiß, M.; Protsenko, M.; Schütte, J.; Wessel, S.


Gollmann, D. ; Association for Computing Machinery -ACM-, Special Interest Group on Security, Audit and Control -SIGSAC-; Association for Computing Machinery -ACM-:
4th ACM Workshop on Cyber-Physical System Security, CPSS 2018 : Incheon, Republic of Korea, 4th June 2018
New York: ACM, 2018 (ACM Digital Library)
ISBN: 978-1-4503-5755-5
Workshop on Cyber-Physical System Security (CPSS) <4, 2018, Incheon>
Fraunhofer AISEC ()

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.