Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework - Artificial Intelligence Applications and Innovations Access content directly
Conference Papers Year : 2021

Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework

Lazaros Iliadis
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  • PersonId : 1033478
Elias Pimenidis
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  • PersonId : 1033463
Nikolaos Tziritas
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  • PersonId : 1105462
Maria Koziri
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  • PersonId : 1105463
Panagiotis Kikiras
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  • PersonId : 1056863
Michael Tonkin
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  • PersonId : 1105464

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.
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hal-03287694 , version 1 (15-07-2021)

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Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Nikolaos Tziritas, Maria Koziri, et al.. Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework. 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.769-779, ⟨10.1007/978-3-030-79150-6_60⟩. ⟨hal-03287694⟩
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