In view of the phenomenon of node voting not actively and node gang crime in the DPOS consensus mechanism, this paper proposes an improved scheme based on credit score, which comprehensively calculates credit score according to node behavior record and error rate, and equity holders vote according to credit score, so as to make the witnesses elected more credible. The recommendation algorithm is introduced to reduce the centralization of nodes. An incentive mechanism is introduced to award credit points to nodes that vote positively and produce correct blocks, and punish malicious nodes. Experimental results show that the improved Dpos consensus mechanism based on credit points can quickly eliminate malicious nodes, and improve the enthusiasm of equity holders to vote, with high security.


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    Titel :

    Research on DPOS Consensus Mechanism Improvement


    Beteiligte:
    Liu, Meina (Autor:in) / Tan, Minsheng (Autor:in) / Lei, Peiliang (Autor:in)


    Erscheinungsdatum :

    2022-10-12


    Format / Umfang :

    1019472 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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