基于比特币区块链激励机制的矿工决策与用户行为交互分析

Takumi Hiraide, S. Kasahara
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引用次数: 0

摘要

在比特币区块链中,矿工节点可能会选择高费用的交易包含在一个区块中。这使得高费用的交易处理速度很快,影响了用户想要支付的交易费用金额。获胜矿工的奖励包括交易费和新发行的代币,因此新发行的代币数量也会影响矿工参与挖矿竞争的决定。此外,挖矿奖励还会影响总哈希算力,这对比特币的安全性起着重要的作用,降低了恶意矿工安全攻击的成功概率。在本文中,我们开发了一个数学模型,用于分析矿工决策与用户行为在交易费用、交易确认时间和安全性方面的相互作用。利用排队理论分析了交易包容过程,在纳什均衡的背景下分析了矿工和用户的决策过程。数值算例显示了挖矿成本和新发行的代币对矿工决策的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of interaction between miner decision making and user action for incentive mechanism of bitcoin blockchain
In Bitcoin blockchain, miner nodes are likely to choose transactions with high fee to be included in a block. This makes transactions with high fee being processed fast, affecting the amount of transaction fee that users want to pay. The reward for a winning miner consists of transaction fee and newly issued coins, and hence the amount of newly issued coins also affects the miner decision to participate in the mining competition. In addition, mining reward also affects the total hash computing power, which plays an important role of Bitcoin security for reducing the success probability of security attack by a malicious miner. In this paper, we develop a mathematical model for analyzing the interaction between miner decision making and user actions in terms of transaction fees, transaction-confirmation time, and security. We analyze the transaction-inclusion process with queueing theory, while decision making processes of miners and users are analyzed in the context of Nash equilibrium. The numerical examples show how the mining costs and newly issued coins affect miner decision making.
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