1. 北京邮电大学软件学院,北京,100876
2. 北京邮电大学电信工程学院,北京,100876
3. 西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西,西安,710071
4. 北京邮电大学理学院,北京,100876
5. 北京邮电大学软件学院北京,100876
6. 北京邮电大学电信工程学院北京,100876
7. 西安电子科技大学综合业务网理论及关键技术国家重点实验室陕西西安,710071
8. 北京邮电大学理学院北京,100876
网络出版:2008-04-25,
纸质出版:2008
移动端阅览
肖 倩, 罗守山, 陈 萍, 等. 半诚实模型下安全多方排序问题的研究[J]. 电子学报, 2008,36(4):709-714.
XIAO Qian, LUO Shou-shan, CHEN Ping, et al. Research on the Problem of Secure Multi-party Ranking Under Semi-honest Model[J]. Acta Electronica Sinica, 2008, 36(4): 709-714.
安全多方排序问题是百万富翁问题的推广问题
用于
n
个参与方在不泄漏各方秘密输入的前提下比较出其输入在全体输入中按照一定顺序所处的位置.本文首先提出了半诚实模型下基于同态加密的安全两方排序协议.然后将该协议推广到多方排序的情况
并提出两种提高效率的改进算法.最后本文还提出了基于模糊贴近度的安全多方排序协议
并对这几个协议的安全性和效率做了分析、比较.
Secure multi-party ranking is a problem generalized from the millionaires’ problem
which can be used by n people to know about their secrets’ order among all their inputs without leaking further information.Through the study on millionaires’ protocol
we presented a secure two-party ranking protocol under semi-honest model based on homomorphic encryption.Then we generalized it to secure multi-party ranking
and we presented two algorithms whose efficiency are both improved.Finally
we gave a secure multi-party ranking protocol based on fuzzy nearness degree
and we analyzed the efficiency and security of these protocols.
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