网络与信息安全学报 ›› 2021, Vol. 7 ›› Issue (6): 113-125.doi: 10.11959/j.issn.2096-109x.2021107

• 专栏Ⅱ:区块链技术 • 上一篇    

基于区块链的数据完整性多方高效审计机制

周家顺, 王娜, 杜学绘   

  1. 信息工程大学,河南 郑州 450001
  • 修回日期:2021-11-05 出版日期:2021-12-01 发布日期:2021-12-01
  • 作者简介:周家顺(1997− ),男,河南商丘人,信息工程大学硕士生,主要研究方向为信息安全、区块链
    王娜(1980− ),女,山西临汾人,博士,信息工程大学副教授,主要研究方向为信息系统安全、大数据和区块链安全
    杜学绘(1968− ),女,河南新乡人,博士,信息工程大学教授、博士生导师,主要研究方向为信息系统安全、大数据和区块链安全
  • 基金资助:
    国家重点研发计划(2018YFB0803603);国家自然科学基金(61802436)

Multi-party efficient audit mechanism for data integrity based on blockchain

Jiashun ZHOU, Na WANG, Xuehui DU   

  1. Information Engineering University, Zhengzhou 450001, China
  • Revised:2021-11-05 Online:2021-12-01 Published:2021-12-01
  • Supported by:
    The National Key R&D Program of China(2018YFB0803603);The National Natural Science Foundation of China(61802436)

摘要:

提出了一种面向大数据环境的基于区块链的数据完整性多方高效审计机制(MBE-ADI)。构建基于数据域的混合Merkle DAG结构对数据组织,实现大数据环境下大量非结构化数据同时验证;为应对大数据环境下数据量大的问题,设计基于 BLS 签名多副本确定性验证方法,实现支持多副本的数据完整性高效验证;设计基于联盟链的双验证审计架构,实现去中心化自动审计以及审计历史可信追溯,同时为数据拥有者和数据使用者提供数据完整性验证服务,实现数据的可信获取。测试证明系统的可行性以及数据完整性审计的高效性。

关键词: 区块链, 大数据, 完整性审计, MerkleDAG, 数据共享

Abstract:

A blockchain-based data integrity multi-party high-efficiency audit mechanism (MBE-ADI) for the big data environment was proposed.A hybrid Merkle DAG structure based on data domain was built to organize data, and realized the simultaneous verification of a large number of unstructured data in the big data environment.In order to deal with the problem of large amount of data in the big data environment, a multi copy deterministic verification method based on BLS signature was designed to realize the efficient verification of data integrity supporting multiple copies.A dual verification audit architecture based on consortium blockchain was designed to realize decentralized automatic audit and audit history credible traceability.At the same time, data integrity verification services were provided for data owners and data users to realize reliable acquisition of data.The test proves the feasibility of the system and the efficiency of data integrity audit.

Key words: blockchain, big data, integrity audit, Merkle DAG, data sharing

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