《计算机应用》唯一官方网站 ›› 2023, Vol. 43 ›› Issue (2): 450-457.DOI: 10.11772/j.issn.1001-9081.2022010025

• 网络空间安全 • 上一篇    

基于隐私计算的网络会议数字评选系统设计方案

王腾腾1,2, 崔喆1,2(), 唐聃3   

  1. 1.中国科学院 成都计算机应用研究所,成都 610041
    2.中国科学院大学 计算机科学与技术学院,北京 100049
    3.成都信息工程大学 软件工程学院,成都 610225
  • 收稿日期:2022-01-10 修回日期:2022-03-04 接受日期:2022-03-11 发布日期:2022-03-22 出版日期:2023-02-10
  • 通讯作者: 崔喆
  • 作者简介:王腾腾(1996—),女,山东德州人,硕士研究生,主要研究方向:秘密分享、安全多方计算
    唐聃(1982—),男,四川绵阳人,教授,博士,CCF会员,主要研究方向:编码理论、秘密分享。
  • 基金资助:
    四川省重大科技专项(2019ZDZX0005)

Design scheme of digital review system for online conference based on privacy computing

Tengteng WANG1,2, Zhe CUI1,2(), Dan TANG3   

  1. 1.Chengdu Institute of Computer Application,Chinese Academy of Sciences,Chengdu Sichuan 610041,China
    2.School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China
    3.School of Software Engineering,Chengdu University of Information Technology,Chengdu Sichuan 610225,China
  • Received:2022-01-10 Revised:2022-03-04 Accepted:2022-03-11 Online:2022-03-22 Published:2023-02-10
  • Contact: Zhe CUI
  • About author:WANG Tengteng, born in 1996, M. S. candidate. Her research interests include secret sharing, secure multi-party computation.
    TANG Dan, born in 1982, Ph. D., professor. His research interests include coding theory, secret sharing.
  • Supported by:
    Major Science and Technology Program of Sichuan Province(2019ZDZX0005)

摘要:

针对目前网络会议数字评选系统无法做到既保证评审人意见的隐私性又获得安全可信的结果的问题,提出一种基于隐私计算的网络会议数字评选系统设计方案。首先,通过里所(RS)码的编码矩阵对评审数据进行秘密分享以得到秘密份额,并将每一方评审数据的哈希值作为存根交由主办方存档以防止抵赖;然后,通过编码矩阵之单调扩张矩阵对秘密份额进行协同计算以得出计票结果;最后,通过校验矩阵检查多方协同计算过程中是否有秘密份额的分享错误或篡改行为存在。理论分析与仿真实验表明,所提方案可在中小规模的网络会议数字评选系统中实现隐私计算功能。

关键词: 网络会议, 数字评选系统, 隐私计算, 编码矩阵, 单调扩张矩阵, 校验矩阵

Abstract:

Focused on the issue that the current online conference digital review system cannot ensure the privacy of reviewers’ opinions and obtain safe and reliable results at the same time, a privacy computing based design scheme of digital review system for online conference was proposed. Firstly, the review data were shared secretly through the encoding matrix of Reed-Solomon (RS) code to obtain secret shares, and the hash code of each party’s review data was submitted to the organizer as a stub to prevent denial. Secondly, the secret shares were cooperatively computed by the monotone expansion matrix, one encoding matrix, to obtain the voting results. Finally, the parity check matrix was used to check whether there was a sharing error or tampering behavior of the secret shares in the process of multi-party cooperative computing. Theoretical analysis and simulation show that the proposed scheme can realize the privacy computing function in the digital review system for small- and medium-sized online conferences.

Key words: online conference, digital review system, privacy computing, encoding matrix, monotone expansion matrix, parity check matrix

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