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 language | English |
|---|---|
| Pages (from-to) | 2156-2176 |
| Number of pages | 21 |
| Journal | Operations Research |
| Volume | 73 |
| Issue number | 4 |
| Early online date | 15 Jul 2025 |
| DOIs | |
| Publication status | Published - Jul 2025 |
Bibliographical note
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Keywords
- Stochastic Models
- Markov process
- consensus
- blockchain