IT-Security Risk Based Approach for Secure Operation of Distributed Data Platforms in Supply Chains
- 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.
Author: | Marvin Voß, Jonas KallischORCiD, Maxim RungeORCiD, Tobias Theus, Karl-Heinz NiemannORCiDGND, Christoph WunckORCiD |
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URN: | urn:nbn:de:bsz:960-opus4-34796 |
DOI: | https://doi.org/10.25968/opus-3479 |
DOI original: | https://doi.org/10.1109/IEEM62345.2024.10857265 |
ISBN: | 979-8-3503-8609-7 |
Parent Title (English): | 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
Publisher: | IEEE |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2025 |
Publishing Institution: | Hochschule Hannover |
Release Date: | 2025/02/06 |
Tag: | OT security; Supply chain security; confederated learning; supply chain risk analysis |
GND Keyword: | ComputersicherheitGND; Supply Chain ManagementGND; DatenaustauschGND; RisikoanalyseGND |
First Page: | 952 |
Last Page: | 958 |
Link to catalogue: | 1920064133 |
Institutes: | Fakultät I - Elektro- und Informationstechnik |
DDC classes: | 004 Informatik |
Licence (German): | ![]() |