Modeling and analysis of block arrival times in the Bitcoin blockchain

被引：10
|
作者：
Bowden, R. [1 ]
Keeler, H. P. [1 ]
Krzesinski, A. E. [2 ]
Taylor, P. G. [1 ]
机构：
[1] Univ Melbourne, Sch Math & Stat, Melbourne, Vic 3010, Australia
[2] Stellenbosch Univ, Dept Math Sci, Stellenbosch, South Africa
来源：
STOCHASTIC MODELS | 2020年 / 36卷 / 04期
基金：
澳大利亚研究理事会;
关键词：
Bitcoin blockchain; block mining model; hash rate; mining difficulty adjustment; Poisson process;
D O I：
10.1080/15326349.2020.1786404
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In the original Bitcoin paper and other research papers since, it is assumed that Bitcoin blocks are mined at the instants of a homogeneous Poisson process. Based on blockchain block arrival data and stochastic analysis of the block arrival process, we demonstrate that this is not the case. We present a framework for studying the block arrival process, including two refined mathematical models for block arrivals, determined by combining models for a period of constant difficulty and how the difficulty evolves over time.
引用
收藏
页码：602 / 637
页数：36
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