ArticleScientific reports2025
A cross-chain model for warehouse receipts in port supply chain based on notary mechanism and ShangMi cryptographic algorithms.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
In the evolving landscape of global trade digitalization, port supply chains play a pivotal role as critical components of international logistics. These supply chains face pressing needs to enhance the efficiency and security of warehouse receipt management. Traditional methods often grapple with challenges such as information isolation, vulnerabilities in data security, and suboptimal collaboration efficiency. This paper introduces a novel cross-chain warehouse receipt management system that leverages a notary mechanism and ShangMi (SM) cryptographic algorithms to overcome these obstacles. The system is structured around an innovative "3 + 1" multi-chain architecture, which consists of three distinct business chains-production, port, and sales-and a cross-chain management platform that orchestrates communication between these chains. The proposed system employs a layered data structure for warehouse receipts and uses differentiated encryption strategies. These features enable flexible data sharing while ensuring the protection of sensitive information. To further enhance operational efficiency, the system incorporates performance optimization strategies such as batch processing and incremental synchronization. Experimental evaluations reveal significant performance improvements over conventional systems. For instance, under conditions of 800 concurrent users, our system achieves a query latency of 485.3 milliseconds (ms) compared to 7,900 ms in the reference system, and maintains a query throughput of 565.4 transactions per second (TPS), in stark contrast to approximately 100TPS in the reference system. These results underscore the technical superiority of our approach in practical business scenarios.
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