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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/120259


    Title: 基於多重簽章之拜占庭共識演算法
    Multi-Signature Byzantine Agreement
    Authors: 陳俊瑋
    Chen, Chun-Wei
    Contributors: 郭桐惟
    Kuo, Tung-Wei
    陳俊瑋
    Chen, Chun-Wei
    Keywords: 區塊鏈
    共識演算法
    拜占庭容錯
    分散式系統
    Blockchain
    Consensus algorithm
    Byzantine fault tolerance
    Distributed system
    Date: 2018
    Issue Date: 2018-10-01 12:10:58 (UTC+8)
    Abstract: 在比特幣面世之後，分散式帳本技術被應用在各式各樣的領域上。
    比特幣使用""工作量證明``來確保區塊鏈網路上的各節點狀態、資料的一致性。
    除了""工作量證明``外，還有包括""權益證明``、""拜占庭容錯``等相關的演算法各有不同的特性，也可以應用在不同用途的區塊鏈設計上。
    我們的研究關注在設計一個具有認許制性質的私有鏈、聯盟鏈上使用的區塊鏈系統，適合許多金融相關組織應用上的需求。
    我們的方法能夠在較嚴格的部分網路同步模型 (partially synchronous model)，及拜占庭錯誤假設下保有足夠的安全性及活性，並具有相比目前相關工作更優秀的系統效能。
    The distributed ledger has been widely used in different scenarios after the Bitcoin turns out.
    Unlike the Proof of work (PoW) approaches, there exist another mechanism that has been used on the decentralize database or fault-tolerate system that have great potential to be transplanted to nowadays consortium blockchain systems.
    Our research focuses on the applying of consensus algorithm to financial organizations with the partially synchronous model, byzantine attackers and permission policy in the system.
    We designed a novel consensus algorithm, Msig-BFT, that can tolerate one-third faulty nodes within the system and have better performance of the previous works.
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    arXiv:1710.09437.
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    [4] Castro, M., Liskov, B., et al. (1999). Practical byzantine fault tolerance. In OSDI,
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    [5] Crain, T., Gramoli, V., Larrea, M., and Raynal, M. (2017).
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    algorithm (ecdsa). International journal of information security, 1(1):36–63.
    [10] Kiayias, A., Konstantinou, I., Russell, A., David, B., and Oliynykov, R. (2016). A
    provably secure proof-of-stake blockchain protocol. IACR Cryptology ePrint Archive,
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    [11] King, S. and Nadal, S. (2012). Ppcoin: Peer-to-peer crypto-currency with proof-ofstake.
    self-published paper, August, 19.
    [12] Kogias, E. K., Jovanovic, P., Gailly, N., Khoffi, I., Gasser, L., and Ford, B. (2016).
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    [13] Kwon, J. (August, 2014). Tendermint: Consensus without mining. https://cdn.
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    [15] Liao, W.-T. (2018). A performance evaluation tool for the consensus mechanism of
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    [18] Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. https://
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    [19] Pass, R. and Shi, E. (2017). Hybrid consensus: Efficient consensus in the permissionless
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    [20] Ren, L., Nayak, K., Abraham, I., and Devadas, S. (2017). Practical synchronous
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    [21] Schwartz, D., Youngs, N., and Britto, A. (2014). The ripple protocol consensus
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    [22] Shiu, Y.-J. (2017). Nccu bft for go ethereum. https://github.com/
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    [23] Syta, E., Tamas, I., Visher, D., Wolinsky, D. I., Jovanovic, P., Gasser, L., Gailly, N.,
    Khoffi, I., and Ford, B. (2016). Keeping authorities” honest or bust” with decentralized
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    [24] Tsai, W. T., Yu, L., Hu, C. J., Yao, Y. F., and Li, G. N. (2016). Hydrachain: Design of
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    EIPs/issues/650.
    Description: 碩士
    國立政治大學
    資訊科學系
    105753021
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0105753021
    Data Type: thesis
    DOI: 10.6814/THE.NCCU.CS.018.2018.B02
    Appears in Collections:[Department of Computer Science ] Theses

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