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VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems

delete2022-06-01
delete63
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OA
AI
H
Haotian Wu
Z
Zhe Peng
S
Songtao Guo
杨园园 封面图
杨园园 (Yuanyuan Yang)
B
Bin Xiao *
DOI:10.1109/TPDS.2021.3113873delete
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摘要

摘要

En 中文
Despite increasingly emerging applications, a primary concern for blockchain to be fully practical is the inefficiency of data query. Direct queries on the blockchain take much time by searching every block, while indirect queries on a blockchain database greatly degrade the authenticity of query results. To conquer the authenticity problem, we propose a Verifiable Query Layer (VQL) that can be deployed in the cloud to provide both efficient and verifiable data query services for blockchain systems. The middleware layer extracts data from the underlying blockchain system and efficiently reorganizes them in databases. To prevent falsified data from being stored in the middleware, a cryptographic fingerprint is calculated based on each constructed database. The database fingerprint will be first verified by miners and then written into the blockchain. Moreover, public users can verify the entire databases or several databases that interest them in the middleware layer. We implement VQL together with the verification schemes and conduct extensive experiments based on a practical blockchain system. The evaluation results demonstrate that VQL can efficiently support various data query services and guarantee the authenticity of query results for blockchain systems.
Keyword:
Blockchains
Peer-to-peer computing
Middleware
Bitcoin
Data mining
Distributed ledger
Costs
Cloud query service
verifiable query
data authenticity
blockchain systems

期刊

IEEE Transactions on Parallel and Distributed Systems 封面图
IEEE Transactions on Parallel and Distributed Systems
IF:
6
论文数:
5.2K
被引数:
1.1W

机构

H
hong kong polytechnic university
学者数:
3.0W
论文数: 4.1W
被引数: 921
C
Chongqing University
学者数:
5.1W
论文数: 4.1W
被引数: 6.0W
H
Hong Kong Baptist University
学者数:
6.3K
论文数: 7.5K
被引数: 1.3W
S
state university of new york (suny) system
学者数:
6.5W
论文数: 5.8W
被引数: 65
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