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Mobile Networks and Management. 13th EAI International Conference, MONAMI 2023, Yingtan, China, October 27-29, 2023, Proceedings

Research Article

Cross-Chain Model of Notary Group Based on Verifiable Random Functions

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-55471-1_4,
        author={Can OuYang and Xiaohong Qiu},
        title={Cross-Chain Model of Notary Group Based on Verifiable Random Functions},
        proceedings={Mobile Networks and Management. 13th EAI International Conference, MONAMI 2023, Yingtan, China, October 27-29, 2023, Proceedings},
        proceedings_a={MONAMI},
        year={2024},
        month={3},
        keywords={blockchain blockchain verifiable random function notary mechanism},
        doi={10.1007/978-3-031-55471-1_4}
    }
    
  • Can OuYang
    Xiaohong Qiu
    Year: 2024
    Cross-Chain Model of Notary Group Based on Verifiable Random Functions
    MONAMI
    Springer
    DOI: 10.1007/978-3-031-55471-1_4
Can OuYang1,*, Xiaohong Qiu2
  • 1: Jiangxi University of Science and Technology
  • 2: Nanchang Key Laboratory of Virtual Digital Factory and Cultural Communications
*Contact email: ouyangcan0127@163.com

Abstract

In response to the issues of high centralization, slow transaction rates, and high security risks in the cross-chain mechanism of notary groups, this paper proposes an identity-based, non-interactive cross-chain model for notary groups. The model introduces notary groups to reduce centralization and divides the nodes within the notary group into transaction nodes, validation nodes, and supervisory nodes using verifiable random functions, significantly improving the fault tolerance of the optimized model. Additionally, the model introduces Merkle tree structures to locally store transaction information, enabling the processing of multiple cross-chain transactions at once and reducing transaction latency caused by multiple verifications, thereby improving transaction rates. Experimental results demonstrate that compared to traditional models, the optimized model significantly reduces transaction security risks and increases transaction rates by 55.8%.

Keywords
blockchain blockchain verifiable random function notary mechanism
Published
2024-03-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-55471-1_4
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