题名 | ChainDB: Ensuring Integrity of Querying Off-Chain Data on Blockchain |
作者 | |
发表日期 | 2022-12-16 |
会议名称 | 5th International Conference on Blockchain Technology and Applications, ICBTA 2022 |
会议录名称 | ACM International Conference Proceeding Series
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页码 | 175-181 |
会议日期 | 2022-12-16——2022-12-16 |
会议地点 | chn,Xi'an |
摘要 | Enterprise blockchain applications have been widely adopted and the data scale on blockchain increases rapidly in recent years. In practical application, participants prefer to store most of the business data in local database systems and only provide when queried by others due to privacy concerns, high storage cost, or constraints of on-chain space. However, this makes that the integrity of query results cannot be guaranteed and participants cannot fully trust others, and data owner has the opportunity to provide falsified records. In this paper, we present ChainDB, a relational database that can ensure integrity of querying off-chain data on blockchain. The key insight behind is using Merkle B+ tree as index structure, thus has being able to provide Merkle proof and keep all the records in order. Since the index structure is extended on B+ tree, ChainDB is compatible with common SQL operations and it is easy for enterprises to migrate from classic database systems to ChainDB. The experimental results show that ChainDB not only provides the ability to ensure integrity of querying off-chain data on blockchain, but also performs better than existing solutions. |
关键词 | Data integrity Enterprise blockchain Index structure Merkle proof Range query |
DOI | 10.1145/3581971.3581996 |
URL | 查看来源 |
语种 | 英语English |
Scopus入藏号 | 2-s2.0-85153382695 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/13473 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Gao,Jianbo |
作者单位 | 1.School of Computer Science,Peking University,China 2.National Engineering Research Center for Software Engineering,Peking University,China |
推荐引用方式 GB/T 7714 | Gao,Jianbo,Zhang,Jiashuo,Li,Yueet al. ChainDB: Ensuring Integrity of Querying Off-Chain Data on Blockchain[C], 2022: 175-181. |
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