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安全多方模糊综合评判模型及协议
  • 期刊名称：北京邮电大学学报，2009年6月，第32卷第3期，5-9，EI
  • 时间：0
  • 分类：TP309[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]北京邮电大学网络与交换技术国家重点实验室,北京100876, [2]北京邮电大学网络与信息攻防技术教育部重点实验室,北京100876, [3]北京邮电大学灾备技术国家工程实验室,北京100876, [4]北京邮电大学信息与通信工程学院,北京100876
  • 相关基金：国家重点基础研究发展计划项目（2007CB311203）;国家自然科学基金项目（60821001）;北京市自然科学基金项目（4073037）
  • 相关项目：通信网的网络理论和技术
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, fuzzy comprehensive evaluation, secure multi-party computation, millionaires＇ protocol, additive homomorphic encryption, secure multi-party ranking
中文摘要：

传统的模糊综合评判模型必须集中所有数据进行计算.为了解决分布式环境中多个用户在不共享各自隐私数据的情况下完成综合评判的问题,提出了安全多方模糊综合评判（SMFCE）模型及其主要性质.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协议.最后,对协议的正确性和安全性进行了证明.

英文摘要：

Traditional fuzzy comprehensive evaluation model must concentrate all the resources for calculation. In order to solve the problem that multiple users carry out comprehensive evaluation in distributed environment without sharing private data, a secure multi-party fuzzy comprehensive evaluation （SMFCE） model with basic properties is proposed to allow users sharing data at different places to implement the evaluation without leaking secret data of their own. A protocol under semi-honest model is proposed based on the theory of secure multi-party computation focusing on a common scenario, that is to say, many participants will share fuzzy evaluation matrix by rows. Finally, the correctness and security of the protocol are proved.

同期刊论文项目
通信网的网络理论和技术
期刊论文 332 会议论文 183 获奖 32 著作 5
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