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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.

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Author:Marvin Voß, Jonas KallischORCiD, Maxim RungeORCiD, Tobias Theus, Karl-Heinz NiemannORCiDGND, Christoph WunckORCiD
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):License LogoUrheberrechtlich geschützt