A Sensitive Data Management System Based on Blockchain and Semi-Converged Ring Network

In domains with stringent requirements for data consistency, immutability, and efficient access—such as healthcare, finance, and disciplinary inspection—existing sensitive data management systems face considerable challenges in supporting large-scale file storage and rapid multi-node access. To address these limitations, we propose a semi-converged ring network architecture combining IPFS and Geth. This architecture evaluates and compares the performance of three network topologies, emphasizing the efficiency of node discovery and data consistency in the semi-integrated ring configuration. By incorporating SQL-based querying capabilities, the proposed design ensures consistent data access across distributed locations and facilitates large file transfers. Experimental results confirm that the solution significantly enhances node discovery, data consistency, query performance, and system security.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cscwd64889.2025.11033552
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00

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article

A Sensitive Data Management System Based on Blockchain and Semi-Converged Ring Network

Zheng Zhang, Yukun Liu, Junxing Zhang
Brain Tumor Detection and Classification
article

A Sensitive Data Management System Based on Blockchain and Semi-Converged Ring Network

Zheng Zhang, Yukun Liu, Junxing Zhang
article en

Abstract

In domains with stringent requirements for data consistency, immutability, and efficient access—such as healthcare, finance, and disciplinary inspection—existing sensitive data management systems face considerable challenges in supporting large-scale file storage and rapid multi-node access. To address these limitations, we propose a semi-converged ring network architecture combining IPFS and Geth. This architecture evaluates and compares the performance of three network topologies, emphasizing the efficiency of node discovery and data consistency in the semi-integrated ring configuration. By incorporating SQL-based querying capabilities, the proposed design ensures consistent data access across distributed locations and facilitates large file transfers. Experimental results confirm that the solution significantly enhances node discovery, data consistency, query performance, and system security.

Inner Mongolia University (CN)
Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region
Openalex Percentile: Top 81%
Brain Tumor Detection and Classification
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