A proof-based dynamic bridge model for multi-blockchain interoperability in supply chain network traceability

Blockchain technology has emerged as a promising solution for enhancing transparency and traceability of supply chain management (SCM). However, current blockchain solutions are mostly fragmented and lack interoperability as well as standardized communication protocols, which limits the comprehensive end-to-end traceability needed in logistics multi-actor and obstructs effective data sharing across diverse Blockchain platforms. To address these challenges, this paper proposes a novel Proof-Based Dynamic Bridge Model that enables secure, scalable, and verifiable interoperability between heterogeneous blockchains deployed by different actors within a supply chain network (SCN) (DBM-SCN). To this end, DBM-SCN model introduces a dynamic, temporary bridge that facilitates the transfer of cryptographically signed proofs which are digital documents of logistical events between different blockchains without requiring their fusion or consensus alignment. Moreover, DBM-SCN ensures the integrity and authenticity of exchanged data through cryptographic chaining of proofs, enabling reliable end-to-end traceability across autonomous blockchain networks. DBM-SCN achieves end-to-end traceability across heterogeneous, fragmented blockchain networks while preserving actor sovereignty, delivering stable throughput ( T P S ≈ 0 . 55 t x / s ) and quasi-linear scalability (LSF = 1.4286 for 20 actors) with an efficiency of 70%. Latency is dominated by inherent blockchain storage costs ( ≈ 87%), while cryptographic operations contribute less than 2% of total latency and gas consumption scales linearly with the number of actors, enabling predictable deployment costs.

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Publication Details

Journal
Telematics and Informatics Reports
Published
2026-02-27
DOI
https://doi.org/10.1016/j.teler.2026.100305
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
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article

A proof-based dynamic bridge model for multi-blockchain interoperability in supply chain network traceability

Lahcen Tamym, Ahmed Nait Sidi Moh, Lekbir Afraites, Aissam Hadri et al.
Telematics and Informatics Reports
Supply Chain Resilience and Risk Management
article

A proof-based dynamic bridge model for multi-blockchain interoperability in supply chain network traceability

Lahcen Tamym, Ahmed Nait Sidi Moh, Lekbir Afraites, Aissam Hadri, Iken Mohamed
article en

Abstract

Blockchain technology has emerged as a promising solution for enhancing transparency and traceability of supply chain management (SCM). However, current blockchain solutions are mostly fragmented and lack interoperability as well as standardized communication protocols, which limits the comprehensive end-to-end traceability needed in logistics multi-actor and obstructs effective data sharing across diverse Blockchain platforms. To address these challenges, this paper proposes a novel Proof-Based Dynamic Bridge Model that enables secure, scalable, and verifiable interoperability between heterogeneous blockchains deployed by different actors within a supply chain network (SCN) (DBM-SCN). To this end, DBM-SCN model introduces a dynamic, temporary bridge that facilitates the transfer of cryptographically signed proofs which are digital documents of logistical events between different blockchains without requiring their fusion or consensus alignment. Moreover, DBM-SCN ensures the integrity and authenticity of exchanged data through cryptographic chaining of proofs, enabling reliable end-to-end traceability across autonomous blockchain networks. DBM-SCN achieves end-to-end traceability across heterogeneous, fragmented blockchain networks while preserving actor sovereignty, delivering stable throughput ( T P S ≈ 0 . 55 t x / s ) and quasi-linear scalability (LSF = 1.4286 for 20 actors) with an efficiency of 70%. Latency is dominated by inherent blockchain storage costs ( ≈ 87%), while cryptographic operations contribute less than 2% of total latency and gas consumption scales linearly with the number of actors, enabling predictable deployment costs.

Telematics and Informatics ReportsVol. 21
Université Ibn Zohr (MA), Université Sultan Moulay Slimane (MA), Université Jean Monnet (FR)
Openalex Percentile: Top 44%
Supply Chain Resilience and Risk Management
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