A Secure Medical Information Storage and Sharing Method Based on Multiblockchain Architecture
文献类型:期刊论文
作者 | Hu, Jian1![]() ![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
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出版日期 | 2024-04-16 |
页码 | 15 |
关键词 | Medical diagnostic imaging Secure storage Consensus protocol Hospitals Medical services Memory Insurance Blockchain information storage and sharing medical information multiblockchain architecture |
ISSN号 | 2329-924X |
DOI | 10.1109/TCSS.2024.3381983 |
通讯作者 | Zhu, Peng(pzhu@njust.edu.cn) |
英文摘要 | With the increasing application of technology in the healthcare industry, it has become imperative to establish a robust medical information ecosystem for effective management of medical information secure storage and sharing. This article proposes a healthier ecosystem in collaboration with the main consortium chain and data side chain, using multiblockchain architecture. In the implementation methods for this ecosystem, we store medical information in JavaScript Object Notation (JSON) format within different side chain structures. Additionally, we introduce an improved Practical Byzantine Fault Tolerant (PBFT) consensus mechanism based on a point nomination system and a dynamic RBAC access mechanism. By simulating a blockchain environment with multiple nodes, we analyze the efficiency of this method in terms of record retrieval, consensus mechanism, and storage execution time. The results demonstrate that compared to a single chain structure, the proposed method in this article achieves a substantial 30% improvement in query time efficiency. Moreover, the improved PBFT outperforms the traditional PBFT algorithm without dishonest nodes. Medical records stored in JSON format require shorter storage and execution time compared to text format records. This research contributes toward enhancing the security and efficiency of medical information storage and sharing among different medical subject information systems, thereby fostering a healthier healthcare alliance ecosystem. |
WOS关键词 | BLOCKCHAIN ; HEALTH ; MANAGEMENT ; RECORD |
资助项目 | National Natural Science Foundation of China[72174087] ; National Natural Science Foundation of China[71874082] ; National Natural Science Foundation of China[62103411] ; Social Science Foundation of Jiangsu Province[22TQB004] ; Key R&D Plan of Jiangsu Province[BE2022712] ; Jiangsu Special Research Project of TCM Science and Technology Development Plan[ZT202120] |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:001205827900001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | National Natural Science Foundation of China ; Social Science Foundation of Jiangsu Province ; Key R&D Plan of Jiangsu Province ; Jiangsu Special Research Project of TCM Science and Technology Development Plan |
源URL | [http://ir.ia.ac.cn/handle/173211/58261] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
通讯作者 | Zhu, Peng |
作者单位 | 1.Nanjing Univ Sci & Technol, Nanjing 210094, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Nanjing Med Univ, Affiliated Hosp 1, Nanjing 211166, Peoples R China 5.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 6.Macau Univ Sci & Technol, Fac Innovat Engn, Macau 999078, Peoples R China |
推荐引用方式 GB/T 7714 | Hu, Jian,Zhu, Peng,Li, Juanjuan,et al. A Secure Medical Information Storage and Sharing Method Based on Multiblockchain Architecture[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2024:15. |
APA | Hu, Jian,Zhu, Peng,Li, Juanjuan,Qi, Yong,Xia, Youbing,&Wang, Fei-Yue.(2024).A Secure Medical Information Storage and Sharing Method Based on Multiblockchain Architecture.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,15. |
MLA | Hu, Jian,et al."A Secure Medical Information Storage and Sharing Method Based on Multiblockchain Architecture".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2024):15. |
入库方式: OAI收割
来源:自动化研究所
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