Improving Blockchain Consistency Bound by Assigning Weights to Random Blocks

Xueping Gong, Qing Zhang*, Huizhong Li, Jiheng Zhang

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

Abstract

Blockchains based on the celebrated Nakamoto consensus protocol have shown promise in several applications, including cryptocurrencies. However, these blockchains have inherent scalability limits caused by the protocol’s consensus properties. In particular, the consistency property demonstrates a tight trade-off between block production speed and the system’s security in terms of resisting adversarial attacks. As such, this paper proposes a novel method called Ironclad, which improves the blockchain consistency bound by assigning a different weight to randomly selected blocks. We apply our method to the original Nakamoto protocol and rigorously prove that such a combination can significantly improve the consistency bound by analyzing the fundamental consensus properties. This kind of improvement enables a much faster block production rate than the original Nakamoto protocol but with the same security guarantee.

Original languageEnglish
Pages (from-to)2156-2176
Number of pages21
JournalOperations Research
Volume73
Issue number4
Early online date15 Jul 2025
DOIs
Publication statusPublished - Jul 2025

Bibliographical note

Publisher Copyright:
© 2024 INFORMS.

Keywords

  • Stochastic Models
  • Markov process
  • consensus
  • blockchain

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