TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Voß, Marvin
A1  - Kallisch, Jonas
A1  - Runge, Maxim
A1  - Theus, Tobias
A1  - Niemann, Karl-Heinz
A1  - Wunck, Christoph
T1  - IT-Security Risk Based Approach for Secure Operation of Distributed Data Platforms in Supply Chains
T2  - 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
N2  - 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.
KW  - Supply chain security
KW  - supply chain risk analysis
KW  - confederated learning
KW  - OT security
KW  - Computersicherheit
KW  - Supply Chain Management
KW  - Datenaustausch
KW  - Risikoanalyse
Y1  - 2025
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-34796
SN  - 979-8-3503-8609-7
SB  - 979-8-3503-8609-7
U6  - https://doi.org/10.25968/opus-3479
DO  - https://doi.org/10.25968/opus-3479
SP  - 952
EP  - 958
PB  - IEEE
ER  -