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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/143305
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/143305


    Title: A Novel Undeniable (t, n)-Threshold Signature with Cheater Identification
    Authors: 曾一凡
    Tseng, Yi-Fan
    Lin, Yan-Bin
    Contributors: 資科系
    Keywords: digital signature;undeniable signature;threshold signature;cryptanalysis
    Date: 2022-05
    Issue Date: 2023-02-06 14:30:48 (UTC+8)
    Abstract: A digital signature is one of the most widely used cryptographic primitives in asymmetry cryptography. According to the security requirements in different symmetry or asymmetry network models, various digital signatures have been developed in the literature. To protect the right of the signer, Chaum and Antrepen first introduced the concept of an undeniable signature, where interactive protocols are needed for the verification process. Besides, a signer can, also, perform a disavowal protocol to prove that they did not sign the message. On the other hand, threshold cryptography is, usually, used to protect the system from a single point of failure. In a -threshold signature scheme, as long as t people in the group of n people participate, the signature can be smoothly signed. By combining these two features, an undeniable threshold signature enjoys the advantages from both sides. After our survey, we found that the existing undeniable threshold signature schemes are either insecure or apply impractical assumptions. Thus, in this manuscript, we aim at designing a novel and provably secure undeniable threshold signature scheme. The proposed scheme is formally proven to be unforgeable and invisible. Besides, our scheme supports cheater identification, which allows one to find the cheater, when a signing protocol fails. Moreover, the proposed scheme can be performed without the help of trusted third parties or secure cryptographic modules, which would be more practical when our scheme is deployed in real-world applications.
    Relation: Symmetry, Vol.14, No.6, 1118
    Data Type: article
    DOI 連結: https://doi.org/10.3390/sym14061118
    DOI: 10.3390/sym14061118
    Appears in Collections:[資訊科學系] 期刊論文

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