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Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework

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Autore
Konstantinos Demertzis; Lazaros Iliadis; Elias Pimenidis; Nikolaos Tziritas; Maria Koziri; Panagiotis Kikiras; Michael Tonkin
Data
2021
DOI
10.1007/978-3-030-79150-6_60
Soggetto
Blockchain
Meta-learning
Federated Learning|Cyber-Security
Privacy
Industry 4.0
Supply Chain Management
Bibliographic details
Demertzis, K. et al. (2021). Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework. In: Maglogiannis, I., Macintyre, J., Iliadis, L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 627. Springer, Cham. https://doi.org/10.1007/978-3-030-79150-6_60
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Abstract
The complete transformation of the supply chain in a truly integrated and fully automated process, presupposes the continuous and endless collection of digital information from every stage of the production scale. The aim is not only to investigate the current situation, but also the history for every stage of the chain. Given the heterogeneity of the systems involved in the supply chain and the non-institutional interoperability in terms of hardware and software, serious objections arise as to how these systems are digitally secured. An important issue is to ensure privacy and business confidentiality. This paper presents a specialized and technologically up-to-date framework for the protection of digital security, privacy and industrial-business secrecy. At its core is Federated Learning technology, which operates over Blockchain and applies advanced encryption techniques.
URI
http://hdl.handle.net/11615/60214
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