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Quantum private comparison based on quantum dense coding

基于量子超幂编码的量子隐私消息对比

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Abstract

A serious problem in cloud computing is privacy information protection. This study proposes a new private comparison protocol using Einstein-Podolsky-Rosen (EPR) pairs. This protocol allows two parties to secretly compare their classical information. Quantum dense coding enables the comparison task to be completed with the help of a classical semi-honest center. A one-step transmission scheme and designed decoy photons can be used against various quantum attacks. The new protocol can ensure fairness, efficiency, and security. The classical semi-honest center cannot learn any information about the private inputs of the players. Moreover, this scheme can be easily generalized using the general EPR pairs in order to improve the transmission efficiency.

创新点

(1)本文设计一种新的公平、有效、安全的量子隐私对比协议。(2)与以前的诚实第三方和量子第三方不同, 本文的协议只依赖于经典的半诚实中心。(3)不像以前的协议可信第三方可能获取部分隐私信息, 本文中的经典半诚实中心不能获取对比双方的隐私消息。(4)本文的协议具有较好的扩展性, 可以拓展到基于多层量子态的隐私对比协议。

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61303039, 61373131), Natural Science Foundation of Shandong Province (Grant No. ZR2015FL024), Fundamental Research Funds for the Central Universities (Grant No. 2682014CX095), PAPD and CICAEET Funds, Open Foundation of Jiangsu Engineering Center of Network Monitoring (Nanjing University of Information Science & Technology) (Grant No. KJR1502), Open Foundation of China-USA Computer Science Center (Grant No. KJR16012), and Science Foundation Ireland (SFI) under the International Strategic Cooperation Award (Grant No. SFI/13/ISCA/2845).

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Authors and Affiliations

  1. College of Mathematical Sciences, Dezhou University, Dezhou, 253023, China

    Feng Wang

  2. Information Security and National Computing Grid Laboratory, Southwest Jiaotong University, Chengdu, 610031, China

    Feng Wang, Mingxing Luo & Huiran Li

  3. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Zhiguo Qu

  4. School of Electronic Engineering, Dublin City University, Dublin 9, Ireland

    Xiaojun Wang

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  1. Feng Wang
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  2. Mingxing Luo
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  3. Huiran Li
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  4. Zhiguo Qu
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  5. Xiaojun Wang
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Correspondence to Zhiguo Qu.

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Wang, F., Luo, M., Li, H. et al. Quantum private comparison based on quantum dense coding. Sci. China Inf. Sci. 59, 112501 (2016). https://doi.org/10.1007/s11432-015-0616-9

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