| dc.creator | Demertzis K., Iliadis L., Pimenidis E., Tziritas N., Koziri M., Kikiras P., Tonkin M. | en |
| dc.date.accessioned | 2023-01-31T07:53:25Z | |
| dc.date.available | 2023-01-31T07:53:25Z | |
| dc.date.issued | 2021 | |
| dc.identifier | 10.1007/978-3-030-79150-6_60 | |
| dc.identifier.isbn | 9783030791490 | |
| dc.identifier.issn | 18684238 | |
| dc.identifier.uri | http://hdl.handle.net/11615/73204 | |
| dc.description.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. © 2021, IFIP International Federation for Information Processing. | en |
| dc.language.iso | en | en |
| dc.source | IFIP Advances in Information and Communication Technology | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111809394&doi=10.1007%2f978-3-030-79150-6_60&partnerID=40&md5=3fddbeb790ec3c159bc4b7d97e6298e1 | |
| dc.subject | Automation | en |
| dc.subject | Blockchain | en |
| dc.subject | Cryptography | en |
| dc.subject | Interoperability | en |
| dc.subject | Privacy by design | en |
| dc.subject | Supply chain management | en |
| dc.subject | Current situation | en |
| dc.subject | Digital information | en |
| dc.subject | Digital security | en |
| dc.subject | Encryption technique | en |
| dc.subject | Hardware and software | en |
| dc.subject | Learning technology | en |
| dc.subject | Privacy frameworks | en |
| dc.subject | Production scale | en |
| dc.subject | Artificial intelligence | en |
| dc.subject | Springer Science and Business Media Deutschland GmbH | en |
| dc.title | Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework | en |
| dc.type | conferenceItem | en |
