ArticleScience progress
MHBDS: Healthcare blockchain data sharing scheme based on SMPC and TRP-PBFT.
Article in Science progress. 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
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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
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The decentralized and immutable nature of blockchain technology offers promising avenues for secure healthcare data sharing among legitimate institutions. However, current blockchain systems face critical bottlenecks in handling large volumes of medical data, low storage efficiency, and vulnerabilities in security. To overcome these challenges, a novel healthcare blockchain data-sharing scheme integrating Secure Multi-party Computation (SMPC) is proposed. To mitigate the risk of data leaks resulting from key compromise, Blakley's secret sharing technique is employed for key distribution management, and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is integrated for access control. To address the challenge of handling large data on the chain, data that needs to be uploaded to the blockchain is encoded and fragmented using erasure coding techniques. Additionally, a Byzantine Fault Tolerance mechanism based on Reputation and Polling verification (TRP-PBFT) is introduced to enhance data sharing efficiency and system robustness. Simulation experiments conducted on platforms like Fabric demonstrate that this solution improves data sharing efficiency while ensuring data confidentiality and integrity. In comparison to Practical Byzantine Fault Tolerance (PBFT) under similar conditions, TRP-PBFT reduces the average latency from 655.42 ms to 342.22 ms and increases the average throughput from 107.31 TPS to 143.45 TPS. The scheme maintains high throughput and offers relatively stable latency performance.
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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.