Tesi etd-03092026-105158 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
KHAIRY, SAMIULLAH
URN
etd-03092026-105158
Titolo
Privacy-Preserving Digital Product Passports for Container Logistics: Design, Implementation and Experimental Evaluation of a oneM2M, EPCIS 2.0 and IOTA Platform with Zero-Knowledge Proofs
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA E NETWORKING
Relatori
relatore Pagano, Paolo
Parole chiave
- blockchain
- digital product passport
- EPCIS
- Groth16
- IOTA
- maritime logistics
- oneM2M
- privacy-preserving verification
- supply chain transparency
- zero-knowledge proof
Data inizio appello
10/04/2026
Consultabilità
Completa
Riassunto (Inglese)
Maritime shipping carries over 80% of global trade, yet cold-chain compliance verification forces a choice between disclosing sensitive telemetry and issuing unverifiable declarations. The EU's Digital Product Passport mandate requires verifiable provenance, but maritime IT systems lack a harmonized event model for interoperability.
This thesis presents Ocean DPP, integrating EPCIS 2.0, oneM2M, IOTA anchoring, and Groth16 zero-knowledge proofs to verify compliance without revealing sensor data. Merkle-tree batching amortises on-chain cost, and sixteen experiments over 10,000+ events confirm 48 ms baseline latency, sub-10 ms proof verification, 37% scaling improvement, and zero message loss.
The results demonstrate that privacy-preserving, standards-compliant DPPs are viable for maritime supply chains.
This thesis presents Ocean DPP, integrating EPCIS 2.0, oneM2M, IOTA anchoring, and Groth16 zero-knowledge proofs to verify compliance without revealing sensor data. Merkle-tree batching amortises on-chain cost, and sixteen experiments over 10,000+ events confirm 48 ms baseline latency, sub-10 ms proof verification, 37% scaling improvement, and zero message loss.
The results demonstrate that privacy-preserving, standards-compliant DPPs are viable for maritime supply chains.
Riassunto (Italiano)
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