Publisher URL:
Publisher DOI: 10.1016/j.promfg.2020.10.171
Title: Secure Cyber-Physical Object Identification in Industrial IoT-Systems
Language: English (United States)
Authors: Wöhnert, Kai Hendrik 
Wöhnert, Sven-Jannik 
Thiel, Tobias 
Weißbach, Rüdiger 
Skwarek, Volker  
Keywords: object identification;product identity;IIoT security;Industry 4.0
Issue Date: 19-Nov-2020
Publisher: Elsevier
Journal or Series Name: Procedia Manufacturing 
Volume: 51
Startpage: 1221
Endpage: 1228
Project: Digitales Produktgedächtnis zur Produktabsicherung 
Conference: International Conference on Flexible Automation and Intelligent Manufacturing 2021 
Production systems equipped with industrial internet-of-things devices are on the rise allowing smart manufacturing within the trend of industry 4.0 by implementing decentralized decision making. The interconnected devices allow for high transparency in systems by tracking environmental data and actions performed by the actors of the systems. However, they are an easy target for attackers to tamper the authenticity, accountability, and integrity of systems. Therefore, trusted data within systems is required. The trust bases on well-behavior over a period of time of a dedicated entity. Therefore, entities have to be identified to track their behavior. Here, a system of verifiable distributed identities is presented and verified by a simulation. Using a newly introduced zero-knowledge-proof with only two packages exchanged a secure replacement of parts of a product such as a production machine can be achieved without relying on a central authority during the product’s utilization phase.
ISSN: 2351-9789
Institute: Forschungs- und Transferzentrum Digitale Wirtschaftsprozesse 
Fakultät Life Sciences 
Department Wirtschaftsingenieurwesen 
Fakultät Wirtschaft und Soziales 
Department Wirtschaft 
Type: Chapter/Article (Proceedings)
Funded by: Bundesministerium für Bildung und Forschung 
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