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Secure joint Bitcoin trading with partially blind fuzzy signatures

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Abstract

Bitcoin has recently received considerable attentions in both academia and industrial areas. It is an appealing anonymous electronic cash system-based peer-to-peer computer networks and does not rely on any centralized trusted authority. The Bitcoin is associated with a public/secret key pair where the security key is only known by its Bitcoin account owner. It is usually hosted on some platform and can only be spent after its owner and the platform sign on it. In this paper, we investigate how to jointly manage the Bitcoin trading when the Bitcoin account is possessed by multiple participants and how to simultaneously guarantee the anonymity of the multiple owners. We first consider the scenario where a single dealer possesses the Bitcoin account but authorizes multiple participants to jointly manage it. For instance, a company authorizes its several departments to manage its account. We next consider the scenario where the Bitcoin account is shared by some peers, e.g., joint investigators each of whom independent possesses a part of the account. The main challenge is that the signers are uncertain in different transactions. We propose partially blind threshold signatures with uncertain signers and their extensions to address this challenge. Analysis shows that our proposals are secure and efficient.

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Acknowledgments

This paper is partially supported by the National Key Basic Research Program (973 program) under project 2012CB315905, by the Natural Science Foundation of China under projects 61370190, 61272501, 61173154, 61402029 and 61003214, by the Beijing Natural Science Foundation through projects 4132056 and 4122041, by the Guangxi Natural Science Foundation through project 2013GXNSFBB053005 and the Guangxi Science Research & Technology Development Project 14124004-4-10, the Fundamental Research Funds for the Central Universities, and the Research Funds (No. 14XNLF02) of Renmin University of China, the Open Research Fund of the State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences and the Open Research Fund of Beijing Key Laboratory of Trusted Computing.

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Beihang University, XueYuan Road No. 37, Haidian District, Beijing, China

    Qianhong Wu, Xiuwen Zhou & Jianwei Liu

  2. The Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, School of Information, Renmin University of China, Zhongguancun Street No. 59, Haidian District, Beijing, China

    Bo Qin

  3. School of Engineering and IT, University of New South Wales, Canberra, ACT, 2600, Australia

    Jiankun Hu

  4. School of Mathematics and Computing Science, Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Jingji Road No. 1, Guangxi, 5410041, China

    Yong Ding

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  1. Qianhong Wu
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  2. Xiuwen Zhou
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  3. Bo Qin
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  4. Jiankun Hu
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  5. Jianwei Liu
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  6. Yong Ding
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Correspondence to Yong Ding.

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The authors declare that they have no conflict of interest.

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Communicated by V. Loia.

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Wu, Q., Zhou, X., Qin, B. et al. Secure joint Bitcoin trading with partially blind fuzzy signatures. Soft Comput 21, 3123–3134 (2017). https://doi.org/10.1007/s00500-015-1997-6

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  • DOI: https://doi.org/10.1007/s00500-015-1997-6

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