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CoralDB: A Collaborative Database for Data Sharing Based on Permissioned Blockchain

delete2024-09-01
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PRE
AI
W
Weimin Li
W
Weihong Tian
Z
Zhengmao Yan
Z
Zitong Li
J
Jie Gao
F
Fan Wu *
J
Jianxun Liu
W
Wenxiong Chen
Ju Ren 封面图
Ju Ren (Ju Ren)
DOI:10.1109/TMC.2024.3357499delete
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摘要

摘要

En 中文
Systems that integrate distributed databases and existing blockchain platforms have recently emerged, which conveniently leverage their respective strengths to build efficient, secure, and usable data sharing and collaboration environments for different organizations. However, the performance of such systems can be limited by the native blockchain platforms due to the high latency of transactions. In this article, we present CoralDB, a bottom-up fully redesigned hybrid system of blockchain and database, aimed at enabling untrusted organizations to collaborate and share data efficiently and securely at the database level. The storage layer of CoralDB ensures data security and system throughput through key modules such as customized block structure, consensus mechanism, and transaction pool. On top of the storage layer, a database layer is introduced, which extends the blockchain of the storage layer by incorporating connection pools, collaborative tables, and query interfaces, to enhance the usability and efficiency of data collaboration and sharing. Extensive experimental results demonstrate that CoralDB provides security assurances at the level of blockchain and enables efficient decentralized data collaboration and sharing.
Keyword:
Blockchain
data collaboration
data sharing
distributed database
efficiency
security
Blockchain
data collaboration
data sharing
distributed database
efficiency
security

期刊

IEEE Transactions on Mobile Computing 封面图
IEEE Transactions on Mobile Computing
IF:
9.2
论文数:
5.8K
被引数:
1.8W

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hunan university of humanities, science & technology
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594
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被引数: 0
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tsinghua university
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11.9W
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H
Hunan Normal University
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1.3W
论文数: 8.2K
被引数: 9.1K
C
Central South University
学者数:
10.0W
论文数: 7.2W
被引数: 10.9W
C
carleton university
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7.5K
论文数: 8.3K
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