Detailed Information

Cited 0 time in webofscience Cited 22 time in scopus
Metadata Downloads

Secure and Efficient Data Storage and Sharing Scheme Based on Double Blockchain

Authors
Zhang, LejunPeng, MinghuiWang, WeizhengSu, YansenCui, ShunaKim, Seokhoon
Issue Date
2021
Publisher
Tech Science Press
Keywords
Cloud storage; blockchain; electronic medical records; access control; data sharing; privacy
Citation
Computers, Materials and Continua, v.66, no.1, pp 499 - 515
Pages
17
Journal Title
Computers, Materials and Continua
Volume
66
Number
1
Start Page
499
End Page
515
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/2215
DOI
10.32604/cmc.2020.012205
ISSN
1546-2218
1546-2226
Abstract
In the digital era, electronic medical record (EMR) has been a major way for hospitals to store patients' medical data. The traditional centralized medical system and semi-trusted cloud storage are difficult to achieve dynamic balance between privacy protection and data sharing. The storage capacity of blockchain is limited and single blockchain schemes have poor scalability and low throughput. To address these issues, we propose a secure and efficient medical data storage and sharing scheme based on double blockchain. In our scheme, we encrypt the original EMR and store it in the cloud. The storage blockchain stores the index of the complete EMR, and the shared blockchain stores the index of the shared part of the EMR. Users with different attributes can make requests to different blockchains to share different parts according to their own permissions. Through experiments, it was found that cloud storage combined with blockchain not only solved the problem of limited storage capacity of blockchain, but also greatly reduced the risk of leakage of the original EMR. Content Extraction Signature (CES) combined with the double blockchain technology realized the separation of the privacy part and the shared part of the original EMR. The symmetric encryption technology combined with Ciphertext-Policy Attribute-Based Encryption (CP-ABE) not only ensures the safe storage of data in the cloud, but also achieves the consistency and convenience of data update, avoiding redundant backup of data. Safety analysis and performance analysis verified the feasibility and effectiveness of our scheme.
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Seok hoon photo

Kim, Seok hoon
College of Software Convergence (Department of Computer Software Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE