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An Efficient and Practical Quantum Blind Signature Protocol with Relaxed Security Model

Jun Zhang1, *, Hao Xiao2, Hongqun Zhai1, Xiaoli Meng3

1 School of Information Engineering, Jiangsu Maritime Institute, Nanjing, 21100, China.
2 School of Information Engineering, Huzhou University, Huzhou, 313000, China.
3 Department of Electronic Engineering, Hartland Community College, Illinois, 60629, USA.

* Corresponding Author: Jun Zhang. Email: email.

Computers, Materials & Continua 2020, 63(1), 301-313. https://doi.org/10.32604/cmc.2020.07681

Abstract

Blind signature has a wide range of applications in the fields of E-commerce and block-chain because it can effectively prevent the blind signer from getting the original message with its blindness. Owing to the potential unconditional security, quantum blind signature (QBS) is more advantageous than the classical ones. In this paper, an efficient and practical quantum blind signature scheme relaxed security model is presented, where quantum superposition, decoy qubits and hash function are used for the purpose of blindness. Compared with previous QBS scheme, the presented scheme is more efficient and practical with a relaxed security model, in which the signer’s dishonest behavior can be detected other than being prevented as in other QBS schemes.

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APA Style
Zhang, J., Xiao, H., Zhai, H., Meng, X. (2020). An efficient and practical quantum blind signature protocol with relaxed security model. Computers, Materials & Continua, 63(1), 301-313. https://doi.org/10.32604/cmc.2020.07681
Vancouver Style
Zhang J, Xiao H, Zhai H, Meng X. An efficient and practical quantum blind signature protocol with relaxed security model. Comput Mater Contin. 2020;63(1):301-313 https://doi.org/10.32604/cmc.2020.07681
IEEE Style
J. Zhang, H. Xiao, H. Zhai, and X. Meng "An Efficient and Practical Quantum Blind Signature Protocol with Relaxed Security Model," Comput. Mater. Contin., vol. 63, no. 1, pp. 301-313. 2020. https://doi.org/10.32604/cmc.2020.07681

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cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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