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Challenges of PBFT-Inspired Consensus for Blockchain and Enhancements over Neo dBFT

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  • Igor M. Coelho

    (Graduate Program in Computational Sciences (PPG-CComp), Universidade do Estado do Rio de Janeiro, Rua São Francisco Xavier, 524-Maracanã, Rio de Janeiro, RJ 20550-013, Brazil
    Institute of Computing, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza, São Domingos, Niterói, RJ 24210-310, Brazil
    Principal corresponding authors.)

  • Vitor N. Coelho

    (OptBlocks, Avenida João Pinheiro, 274 Sala 201-Lourdes, Belo Horizonte, MG 30130-186, Brazil
    Principal corresponding authors.)

  • Rodolfo P. Araujo

    (Graduate Program in Computational Sciences (PPG-CComp), Universidade do Estado do Rio de Janeiro, Rua São Francisco Xavier, 524-Maracanã, Rio de Janeiro, RJ 20550-013, Brazil)

  • Wang Yong Qiang

    (Research & Development Department, Neo Global Development, 88, Zhengxue Rd, Shanghai 200082, China)

  • Brett D. Rhodes

    (Neo News Today, Leeds LS27 7FH, UK)

Abstract

Consensus mechanisms are a core feature for handling negotiation and agreements. Blockchain technology has seen the introduction of different sorts of consensus mechanism, ranging from tasks of heavy computation to the subtle mathematical proofs of Byzantine agreements. This paper presents the pioneer Delegated Byzantine Fault Tolerance (dBFT) protocol of Neo Blockchain, which was inspired by the Practical Byzantine Fault Tolerance (PBFT). Besides introducing its history, this study describes proofs and didactic examples, as well as novel design and extensions for Neo dBFT with multiple block proposals. Finally, we discuss challenges when dealing with strong Byzantine adversaries, and propose solutions inspired on PBFT for current weak-synchrony problems and increasing system robustness against attacks. Key Contribution : Presents an overview of the history of PBFT-inspired consensus for blockchain, highlighting its current importance on the literature, challenges and assumptions. Contributes to the field of Distributed Consensus, proposing novel extensions for the Neo dBFT (dBFT 2.0+, dBFT 3.0 and dBFT 3.0+), with new insights on innovative consensus mechanisms.

Suggested Citation

  • Igor M. Coelho & Vitor N. Coelho & Rodolfo P. Araujo & Wang Yong Qiang & Brett D. Rhodes, 2020. "Challenges of PBFT-Inspired Consensus for Blockchain and Enhancements over Neo dBFT," Future Internet, MDPI, vol. 12(8), pages 1-20, July.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:8:p:129-:d:392219
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    References listed on IDEAS

    as
    1. Coelho, Vitor N. & Weiss Cohen, Miri & Coelho, Igor M. & Liu, Nian & Guimarães, Frederico Gadelha, 2017. "Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids," Applied Energy, Elsevier, vol. 187(C), pages 820-832.
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    Cited by:

    1. Vitor Nazário Coelho & Rodolfo Pereira Araújo & Haroldo Gambini Santos & Wang Yong Qiang & Igor Machado Coelho, 2020. "A MILP Model for a Byzantine Fault Tolerant Blockchain Consensus," Future Internet, MDPI, vol. 12(11), pages 1-18, October.

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