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Reputation-Based Byzantine Fault-Tolerance for Consortium Blockchain

Lei, Kai ; Zhang, Qichao ; Xu, Limei ; Qi, Zhuyun

2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS), 2018, p.604-611

IEEE

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  • Título:
    Reputation-Based Byzantine Fault-Tolerance for Consortium Blockchain
  • Autor: Lei, Kai ; Zhang, Qichao ; Xu, Limei ; Qi, Zhuyun
  • Assuntos: Blockchain ; Byzantine fault-tolerance ; consensus ; Consensus algorithm ; consortium blockchain ; Delays ; Fault tolerance ; Fault tolerant systems ; primary change ; Protocols ; reputation model ; Security
  • É parte de: 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS), 2018, p.604-611
  • Descrição: The Practical Byzantine Fault Tolerance algorithm (PBFT)has been highly applied in consortium blockchain systems, however, this kind of consensus algorithm can hardly identify and remove faulty nodes in time, and also vulnerable to many attacks against the primary node of PBFT. The equality of consortium members' discourse rights is inapplicable to some real scenarios where dominating members are likely to have a larger discourse rights in the voting process. To address these problems, this paper presents Reputation-based Byzantine Fault Tolerance (RBFT)algorithm that incorporates a reputation model to evaluate the operations of each node in the consensus process. The faulty nodes will get lower discourse rights in the voting process if any malicious behavior is detected, with their reputation decreased. Furthermore, this paper presents an innovative reputation-based primary change scheme. The node with higher reputation obtains greater opportunities to be a primary to generate new valid blocks, which reduces the security risk of the primary. The experimental results demonstrate that RBFT gains better performance and ensures system security and reliability. Compared with PBFT, it increases the average throughput by 15% and reduces delay by 10%, and the faulty node rate of the system can continue to decrease over time.
  • Editor: IEEE
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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