Yaodong Zhang(张耀东)1,†, Feng Liu(刘锋)2, and Haixin Zuo(左海新)1
1 College of Computer Science and Technology, Shandong Technology and Business University, Yantai 264005, China; 2 College of Mathematic and Information Science, Shandong Technology and Business University, Yantai 264005, China
Abstract Threshold signature is an important branch of the digital signature scheme, which can distribute signature rights and avoid the abuse of signature rights. With the continuous development of quantum computation and quantum information, quantum threshold signatures are gradually becoming more popular. Recently, a quantum (t,n) threshold group signature scheme was analyzed that uses techniques such as quantum-controlled-not operation and quantum teleportation. However, this scheme cannot resist forgery attack and does not conform to the design of a threshold signature in the signing phase. Based on the original scheme, we propose an improved quantum (t,n) threshold signature scheme using quantum (t,n) threshold secret sharing technology. The analysis proves that the improved scheme can resist forgery attack and collusion attack, and it is undeniable. At the same time, this scheme reduces the level of trust in the arbitrator during the signature phase.
Yaodong Zhang(张耀东), Feng Liu(刘锋), and Haixin Zuo(左海新) Improved quantum (t,n) threshold group signature 2023 Chin. Phys. B 32 090308
[1] Desmedt Y and Frankel Y 1991 Annual International Cryptology Conference, August 11-15, 1991, Santa Barbara, California, USA, p. 457-469 [2] Zhao L S and Liu J M 2013 2013 5th International Conference on Intelligent Networking and Collaborative Systems, September 9-11, 2013, Xian, Shaanxi, China, pp. 649-651 [3] Wang Y and Lu D J 2012 2012 International Conference on Computer Science and Electronics Engineering, March 23-25, 2012, Hangzhou, Zhejiang, China, pp. 349-352 [4] Liu D, Wang L J, Wang C and Huo P Y 2017 Proceedings of the 2017 International Conference on Cryptography, March 17-19, 2017, Wuhan, China, pp. 78-80 [5] Shor P W 1994 Proceedings 35th annual symposium on foundations of computer science, November 20-22, 1994, Santa Fe, NM, USA, pp. 124-134 [6] Gottesman D and Chuang I 2001 arXiv: quant-ph/0105032 [7] Zeng G H and Keitel C H 2002 Phys. Rev. A65 042312 [8] Lee H, Hong C, Kim H, Lim J and Yang H J 2004 Phys. Lett. A321 295 [9] Xu G B and Zhang K J 2015 Quantum Inf. Process.14 2577 [10] Zhang K J and Jia H Y 2015 Internaltional Journal of Theoretical Physics54 582 [11] Kim T, Lee H S and Lee S 2017 Quantum Inf. Process.16 268 [12] Zheng T, Zhang S B, Chang Y and Yan L L International Conference on Artificial Intelligence and Security, July 17-19, 2020, Hohhot, China, p. 289 [13] Yin H L, Yao F and Chen Z B 2016 Phys. Rev. A93 032316 [14] Yin H L, Yao F, Liu H, Tang Q J, Wang J, You L X, Zhang W J and Chen S J 2017 Phys. Rev. A95 032334 [15] Lu Y S, Cao X Y, Weng C X, Gu J, Xie Y M, Zhou M G, Yin H L and Chen Z B 2021 Opt. Express29 10162 [16] Weng C X, Lu Y S, Gao R Q, Xie Y M, Gu J, Li C L, Li B H, Yin H L and Chen Z B 2021 Opt. Express29 27661 [17] Yin H L, Yao F, Li C L, Weng C X, Li B H, Gu J, Lu Y S, Huang S and Chen Z B 2022 Nat. Sci. Rev. nwac228 [18] Song X L, Liu Y B, Deng H Y and Xiao Y G 2017 Sci. Rep.7 6366 [19] Mashhadi S 2019 Quantum Inf. Process.18 114 [20] Sutradhar K and Om H 2021 Sci. Rep11 17083 [21] Qin H W, Tang W K and Tso R 2020 Quantum Inf. Process.19 71 [22] Guo R and Cheng X G 2022 Quantum Inf. Process.21 37 [23] Shamir A 1979 Communications of the ACM22 612 [24] Diao Z J, Huang C and Wang K 2012 Acta Applicandae Mathematicae118 147 [25] Shi R H, Mu Y, Zhong H, Cui J and Zhang S 2016 Sci. Rep.6 19655 [26] Mashhadi S 2019 Quantum Inf. Process.18 114 [27] Yi X, Cao C, Fan L and Zhang R 2021 Quantum Inf. Process.20 7 [28] Thas. K 2009 Europhys. Lett.86 6 [29] Yang Y H, Gao F, Wu X, Qin S J, Zuo H J and Wen Q Y 2015 Sci. Rep.5 16967 [30] Li Q, Chan W H and Long D Y 2009 Phys. Rev. A79 054307 [31] Sun Y, Wen Q Y, Gao F and Zhu F C 2009 Phys. Rev. A80 032321 [32] Zhang Q, Yin J, Chen T Y, Lu S, Zhang J, Li X Q, Yang T, Wang X B and Pan J W 2006 Phys. Rev. A73 020301 [33] Hu J Y, Yu B, Jing M Y, Xiao L T, Jia S T, Qin G Q and Long G L 2016 Light: Science & Applications5 e16144 [34] Aigner M and Ziegler G M 2004 Proofs From the Book (Berlin: Springer) pp. 7-13 [35] Zhang K J, Zhang W W and Li D 2013 Quantum Inf. Process.12 2655 [36] Shor P W and Preskill J 2000 Phys. Rev. Lett.85 441
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