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Towards a verifiable and secure data sharing platform for livestock supply chain
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.
RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.ORCID iD: 0000-0002-2241-2749
Digg Agency for Digital Government, Sweden.
2022 (English)In: Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022, Institute of Electrical and Electronics Engineers Inc. , 2022Conference paper, Published paper (Refereed)
Abstract [en]

The digitization of a supply chain involves satisfying several functional and non-functional context specific requirements. The work presented herein builds on efforts to elicit trust and profit requirements from actors in the Swedish livestock supply chain, specifically the beef supply chain. Interviewees identified several benefits related to data sharing and traceability but also emphasized that these benefits could only be realized if concerns around data security and data privacy were adequately addressed. We developed a data sharing platform as a response to these requirements. Requirements around verifiability, traceability, secure data sharing of potentially large data objects, fine grained access control, and the ability to link together data objects was realized using distributed ledger technology and a distributed file system. This paper presents this data sharing platform together with an evaluation of its usefulness in the context of beef supply chain traceability. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022.
Keywords [en]
blockchain, data ownership, ipfs, smart contract, traceability, Access control, Agriculture, Data privacy, Distributed ledger, File organization, Supply chains, Block-chain, Data objects, Data Sharing, Data-sharing platforms, Digitisation, Non-functional, Secure data
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-62605DOI: 10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927871Scopus ID: 2-s2.0-85145349773ISBN: 9781665462976 (electronic)OAI: oai:DiVA.org:ri-62605DiVA, id: diva2:1730309
Conference
20th IEEE International Conference on Dependable, Autonomic and Secure Computing, 20th IEEE International Conference on Pervasive Intelligence and Computing, 7th IEEE International Conference on Cloud and Big Data Computing, 2022 IEEE International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022, 12 September 2022 through 15 September 2022
Note

 Funding details: Svenska Forskningsrådet Formas; Funding text 1: ACKNOWLEDGEMENT This project (grant number: 2019-02277) was funded by Formas within the National Research Programme for Food.

Available from: 2023-01-24 Created: 2023-01-24 Last updated: 2023-01-24Bibliographically approved

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Rydberg, Anna

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Citation style
  • apa
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More languages
Output format
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