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Federated blockchained supply chain management: A cybersecurity and privacy framework

Demertzis, Konstantinos; Iliadis, Lazaros; Pimenidis, Elias; Tziritas, Nikolaos; Koziri, Maria; Kikiras, Panagiotis; Tonkin, Michael

Federated blockchained supply chain management: A cybersecurity and privacy framework Thumbnail


Authors

Konstantinos Demertzis

Lazaros Iliadis

Nikolaos Tziritas

Maria Koziri

Panagiotis Kikiras

Michael Tonkin



Contributors

I. Maglogiannis
Editor

J. Macintyre
Editor

L. Iliadis
Editor

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.

Citation

Demertzis, K., Iliadis, L., Pimenidis, E., Tziritas, N., Koziri, M., Kikiras, P., & Tonkin, M. (2021). Federated blockchained supply chain management: A cybersecurity and privacy framework. In I. Maglogiannis, J. Macintyre, & L. Iliadis (Eds.), Artificial Intelligence Applications and Innovations (769-779). https://doi.org/10.1007/978-3-030-79150-6_60

Conference Name 17th International Conference on Artificial Intelligence Applications and Innovations
Conference Location Online
Start Date Jun 22, 2021
End Date Jun 27, 2021
Acceptance Date May 16, 2021
Online Publication Date Jun 22, 2021
Publication Date 2021
Deposit Date May 27, 2021
Publicly Available Date Mar 28, 2024
Publisher Springer
Volume 627
Pages 769-779
Series Title IFIP Advances in Information and Communication Technology
Book Title Artificial Intelligence Applications and Innovations
ISBN 9783030791490
DOI https://doi.org/10.1007/978-3-030-79150-6_60
Keywords Blockchain; Meta-Learning; Federated Learning; Cyber-Security; Privacy; Industry 40; Supply Chain Management
Public URL https://uwe-repository.worktribe.com/output/7426772

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