@inproceedings{voßkallischrungeetal.2025,
Author = {Voß, Marvin and Kallisch, Jonas and Runge, Maxim and Theus, Tobias and Niemann, Karl-Heinz and Wunck, Christoph},
Title = {IT-Security Risk Based Approach for Secure Operation of Distributed Data Platforms in Supply Chains},

Year = {2025},
Pages = {952 - 958},
Booktitle = {2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)},
Doi = {10.25968/opus-3479},
type = {inproceedings},
Abstract = {This research paper examines the topic of secure data exchange in a supply chain within the manufacturing sector. The objective is the development of a data platform that optimizes operational efficiency and promotes cross-company collaboration. To achieve this, helpful tools are utilized and suitable standards are followed to create a secure system. Security measures are determined by conducting a risk analysis to identify, evaluate, and compensate for potential threats. Furthermore, the utilization of non-transparent federated learning models in combination with a method of security design of components contributes to the information sovereignty of data owners. In conclusion, secure data sharing practices play a pivotal role in supporting collaboration and operational effectiveness in the manufacturing industry.}
}
@COMMENT{Bibtex file generated on }