Monitoring business processes within complex supply chains demands efficient data collection and analytics tailored to diverse phenomena. Traditional centralized solutions face limitations in adapting to the dynamic nature of supply chains. This calls for distributed solutions which break the usual architectural assumption to have a central entity in charge of collecting, integrating and offering tools for the analysis. This project, embedded in a larger initiative called MICS, proposes an inno-vative distributed monitoring solution integrating blockchain for a trustworthy and efficient data analytics strategy that preserves data sovereignty in complex collaborative environments. Leveraging the cloud -edge continuum, the solution aims to ensure secure data exchange, adherence to agreements, and real-time analytics. Expected outcomes include an innovative federated architecture, 5G slice management solutions, an adversarial analysis of supply chain security, and a proof-of-concept implementation of the blockchain-based data flow tracking system. These developments aim to enhance the reliability, security, and efficiency of supply chain monitoring in dynamic industrial environments.
BOTQUAS: Blockchain-based Solutions for Trustworthy Data Sharing in Sustainable and Circular Economy / Amico, Alberto; Apicella, Vincenzo; Bianchini, Devis; Butera, Alberto; Cesana, Matteo; Di Gregorio, Massimiliano; Garda, Massimiliano; Gatteschi, Valentina; Innamorati, Corrado; Leotta, Francesco; Longari, Stefano; Pizzo, Maria Rosa; Plebani, Pierluigi; Romani, Noemi; Tanca, Letizia; Vitaletti, Andrea; Zanero, Stefano. - ELETTRONICO. - (2024), pp. 507-510. (Intervento presentato al convegno 50th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA) tenutosi a Paris (FRA) nel August 28-30, 2024) [10.1109/SEAA64295.2024.00083].
BOTQUAS: Blockchain-based Solutions for Trustworthy Data Sharing in Sustainable and Circular Economy
Butera, Alberto;Gatteschi, Valentina;Romani, Noemi;
2024
Abstract
Monitoring business processes within complex supply chains demands efficient data collection and analytics tailored to diverse phenomena. Traditional centralized solutions face limitations in adapting to the dynamic nature of supply chains. This calls for distributed solutions which break the usual architectural assumption to have a central entity in charge of collecting, integrating and offering tools for the analysis. This project, embedded in a larger initiative called MICS, proposes an inno-vative distributed monitoring solution integrating blockchain for a trustworthy and efficient data analytics strategy that preserves data sovereignty in complex collaborative environments. Leveraging the cloud -edge continuum, the solution aims to ensure secure data exchange, adherence to agreements, and real-time analytics. Expected outcomes include an innovative federated architecture, 5G slice management solutions, an adversarial analysis of supply chain security, and a proof-of-concept implementation of the blockchain-based data flow tracking system. These developments aim to enhance the reliability, security, and efficiency of supply chain monitoring in dynamic industrial environments.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2990917