@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},
  booktitle = {2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)},
  isbn      = {979-8-3503-8609-7},
  doi       = {10.25968/opus-3479},
  institution = {Fakult{\"a}t I - Elektro- und Informationstechnik},
  pages     = {952 -- 958},
  year      = {2025},
  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.},
  subject      = {Computersicherheit},
  language  = {en}
}