A verifiable (t,n) threshold quantum secret sharing scheme based on asymmetric binary polynomial

Author:

Guan Feiting,Guo Jiansheng,Li Lele

Abstract

Abstract Threshold quantum secret sharing is a typical method for quantum secret sharing (QSS) schemes. In this paper, we propose a verifiable t , n threshold QSS scheme based on the d -dimensional Bell state and asymmetric binary polynomial. In this scheme, the dealer encodes the secret using the asymmetric binary polynomial and generates the corresponding secret share for each participant. Then, the dealer prepares the d -dimensional Bell state, and the participants perform corresponding unitary operations on the particles in transmission to recover the secret. With the hash function and the session key pairs, not only the cheating behavior of the dishonest participants can be detected, but also the specific cheaters can be identified. Furthermore, we consider the case when no less than t participants cooperate to recover the secret, which makes the proposed scheme more practical. Analyses show that the scheme can resist forgery attack, collusion attack and other common attacks.

Publisher

IOP Publishing

Subject

Industrial and Manufacturing Engineering,Condensed Matter Physics,Instrumentation,Atomic and Molecular Physics, and Optics

Reference37 articles.

1. How to share a secret;Shamir;Commun. ACM,1979

2. On sharing secrets and Reed-Solomon codes;McEliece;Commun. ACM,1981

3. A scheme for threshold multi-secret sharing;Chan;Appl. Math. Comput.,2005

4. Secret sharing schemes from three classes of linear codes;Yuan;IEEE Trans. Inf. Theory,2006

5. Verifiable secret sharing and achieving simultaneity in the presence of faults;Chor,1985

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3