应用科学学报 ›› 2022, Vol. 40 ›› Issue (4): 555-566.doi: 10.3969/j.issn.0255-8297.2022.04.002

• 区块链 • 上一篇    

交易数据全生命周期区块链隐私保护评估方法

朱旭光1,2,3, 邢春晓1,2,3, 李雯晴1,2,3, 郝潆婷1,2,3   

  1. 1. 清华大学 计算机系, 北京 100084;
    2. 清华大学 北京信息科学与技术国家研究中心, 北京 100084;
    3. 清华大学 互联网产业研究院, 北京 100084
  • 收稿日期:2021-11-14 发布日期:2022-08-03
  • 通信作者: 邢春晓,研究员,博导,研究方向为数据科学和大数据、人工智能、区块链、智慧城市和电子政务等。E-mail:xingcx@tsinghua.edu.cn E-mail:xingcx@tsinghua.edu.cn
  • 基金资助:
    国家重点研发计划基金(No.2018YFB1402701,No.2018YFB1404401)资助

Evaluation Method of Blockchain Privacy Protection for Full Life Cycle of Transaction Data

ZHU Xuguang1,2,3, XING Chunxiao1,2,3, LI Wenqing1,2,3, HAO Yingting1,2,3   

  1. 1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;
    2. Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China;
    3. Institute of Internet Industry, Tsinghua University, Beijing 100084, China
  • Received:2021-11-14 Published:2022-08-03

摘要: 针对区块链与传统信息系统之间的差异,提出一种面向区块链交易数据全生命周期的隐私保护评估方法,从交易数据的发布、共识、存储和应用等方面分析区块链隐私泄露风险和隐私保护方法,建立区块链隐私保护评估指标体系;使用层次分析法与成对比较法相结合的动态指标权重分配方法进行指标相对重要性决策与权重计算;综合隐私保护强度、交易数据可用性和隐私保护技术性能3个维度来计算区块链隐私保护相关能力得分。经分析表明该方法能够实现对区块链隐私保护水平的综合性评估。

关键词: 区块链隐私, 隐私保护评估, 层次分析法, 隐私泄露风险分析

Abstract: This paper proposes an evaluation method of blockchain privacy protection for full life cycle of transaction data in view of the differences between blockchain and traditional information systems, analyzes blockchain privacy leakage risk and privacy protection methods from aspects of transaction data that are release, consensus, storage, and application to establish a blockchain privacy protection evaluation index system; conduct relative importance decision-making for index, and weight calculation using a dynamic index weight assignment method combining analytic hierarchy process and pairwise comparison; combine three dimensions of privacy protection strength, transaction data usability and privacy protection technical performance to calculate blockchain privacy protection related capability score. The analysis shows that the method enables a comprehensive evaluation of the level of blockchain privacy protection.

Key words: blockchain privacy, privacy protection evaluation, analytic hierarchy process, privacy leakage risk analysis

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