| 比特币平台挖矿策略及其收益综述 |
| 投稿时间：2019-09-02 点此下载全文 |
| 引用本文：洪阳,王立松,葛春鹏.比特币平台挖矿策略及其收益综述[J].南京信息工程大学学报,2019,11(5):532~540 |
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| 基金项目:国家自然科学基金青年基金（61702236） |
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| 中文摘要:区块链技术是比特币平台的底层技术，由于其具有透明性、不可伪造性、不可更改性等特点，被广泛应用于虚拟货币、供应链等系统中.然而，大部分区块链平台，如比特币平台，面临包括自私挖矿在内的诸多问题，这将直接导致比特币并不安全，从而严重影响区块链的发展.自私挖矿是一种比特币挖掘策略，它是指自私矿工选择性地发布之前的隐匿的区块从而获得比诚实矿工更多的额外收益.本文在模拟诚实矿工挖矿实验基础上，重点研究自私挖矿情况下矿工的最佳相对收益.采用中心极限定理和节点状态转化图建立了两个节点分布概率模型，再运用马尔可夫随机过程和函数极值法依次求得两个模型下的最佳收益.同时设计并进行自私挖矿模拟实验，得出自私挖矿中节点算力和收益的关系，从而进一步验证模型的合理性. |
| 中文关键词:区块链 自私挖矿 比特币 马尔可夫随机过程 |
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| A security survey of mining strategies on bitcoin platform |
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| Abstract:Blockchain,the underlying technology of Bitcoin,has been widely deployed in many systems including the cryptocurrency,supply chain system due to its transparency,unforgeability and immutability.However,the most of the blockchain platforms such as the Bitcoin are facing the security problems including selfish mining attack,which cause serious effects to the development of blockchain technology.Selfish mining is a kind of strategy in the blockchain technology where selfish miners increase their profit by selectively publishing hidden blocks.Utilizing the central limit theorem and node state transition diagram to establish two probability models in theory,then we use Markov stochastic process and function extremum method to figure out the optimal relative profit.Meanwhile,the simulation experiment of selfish mining is designed and conducted,and the relationship between node computing power and profit in selfish mining is obtained,so as to further verify the rationality of the above models. |
| keywords:blockchain selfish mining bitcoin Markov stochastic process |
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