北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2009, Vol. 32 ›› Issue (3): 5-9.doi: 10.13190/jbupt.200903.5.151

• 论文 • 上一篇    下一篇

安全多方模糊综合评判模型及协议

肖倩 罗守山 杨文川 郑康锋   

  1. 北京邮电大学灾备技术国家工程实验室 北京邮电大学灾备技术国家工程实验室 北京邮电大学信息与通信工程学院 北京邮电大学灾备技术国家工程实验室
  • 收稿日期:2008-10-28 修回日期:2009-04-06 出版日期:2009-06-28 发布日期:2009-06-28
  • 通讯作者: 肖倩

Secure Multi-Party Fuzzy Comprehensive Evaluation Model and Its Protocol

XIAO Qian LUO Shou-Shan YANG Wen-Chuan ZHENG Kang-Feng   

  • Received:2008-10-28 Revised:2009-04-06 Online:2009-06-28 Published:2009-06-28
  • Contact: XIAO Qian

摘要:

传统的模糊综合评判模型必须集中所有数据进行计算。针对分布式环境中多个用户综合评判问题,提出了安全多方模糊综合评判模型(SMFCE)及其主要性质。该模型允许多个分享数据的用户分处不同地点完成评判过程,并且不泄露各自持有的数据。然后,针对参与方按行分享模糊评价矩阵的情形,基于安全多方计算理论,设计出半诚实模型下SMFCE问题的解决方案。最后,对方案的正确性和安全性进行了证明。

关键词: 模糊综合评判, 安全多方计算, 百万富翁协议, 加同态加密体制, 安全多方排序

Abstract:

Traditional fuzzy comprehensive evaluation model must concentrate all the resources for calculation. A secure multi-party fuzzy comprehensive evaluation model (SMFCE) with basic properties was proposed for multiple users carrying out comprehensive evaluation in distributed environment. The proposed model allows users sharing data at different places to implement the evaluation, without leaking secret data of their own. A scheme under semi-honest model was proposed based on the theories of secure multi-party computation, which focuses on a common scenario, that is to say, many participants share fuzzy evaluation matrix by rows. Finally, the correctness and security of the scheme are proved.

Key words: fuzzy comprehensive evaluation;secure multi-party computation;millionaires&rsquo, protocol;additive homomorphic encryption;secure multi-party ranking