ArticleScientific reports2026
A privacy-preserving distributed protocol for secure data sharing in untrusted supply chain.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern supply chains require effective information sharing and inter-organizational collaboration while safeguarding sensitive data to ensure operational efficiency. Despite significant progress, existing methods rarely provide a comprehensive approach that simultaneously ensures privacy and visibility, maintains owner control, and supports horizontal and vertical collaboration in distributed environment without reliance on centralized or globally trusted third parties. Most current works rely on centralized management or blockchain-based architectures that introduce issues of scalability, storage, and integration. To address these gaps, this paper presents a hierarchical model for secure data storage, access, and sharing, integrated with a secure protocol that manages authentication, authorization, and distributed access control. The proposed design enables private yet visible information exchange through metadata and hash propagation while preserving confidentiality, integrity, and anonymity. Protocol-level feasibility and security properties are established through formal and informal analysis, including AVISPA-based verification under standard symbolic adversary models. Simulation-based experimental evaluations across multiple network configurations demonstrate that, within the modeled topology and protocol assumptions, scalability is strongly influenced by balanced connectivity among supply chain nodes, resulting in stable throughput and low latency under increasing complexity. Overall, the proposed approach achieves favorable trade-offs between security, functionality, and computational and communication costs compared with existing methods, providing a well-founded architectural and protocol-level basis for secure information sharing in distributed supply chain environments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.