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Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework

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Auteur
Demertzis K., Iliadis L., Pimenidis E., Tziritas N., Koziri M., Kikiras P., Tonkin M.
Date
2021
Language
en
DOI
10.1007/978-3-030-79150-6_60
Sujet
Automation
Blockchain
Cryptography
Interoperability
Privacy by design
Supply chain management
Current situation
Digital information
Digital security
Encryption technique
Hardware and software
Learning technology
Privacy frameworks
Production scale
Artificial intelligence
Springer Science and Business Media Deutschland GmbH
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Résumé
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. © 2021, IFIP International Federation for Information Processing.
URI
http://hdl.handle.net/11615/73204
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