SuPoolVisor：矿池监管可视分析系统

夏佳志; 张宇鸿; 叶慧; 汪颖; 蒋广; 赵颖; 解聪; 奎晓燕; 廖胜辉; 王伟平

doi:10.1631/FITEE.1900532

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SuPoolVisor：矿池监管可视分析系统

智能可视化专题 | Updated：2022-05-19

- SuPoolVisor：矿池监管可视分析系统
- SuPoolVisor: a visual analytics system for mining pool surveillance
- 信息与电子工程前沿（英文） 2020年21卷第4期页码：507-523
- Affiliations：
  
  School of Computer Science and Engineering, Central South University, Changsha 410083, China
  Facebook, New York 10003, USA
- Author bio：
  
  [ "Jia-zhi XIA, E-mail: xiajiazhi@csu.edu.cn" ]
  [ "Yu-hong ZHANG, E-mail: zhangyuhong@csu.edu.cn" ]
  Ying ZHAO, E-mail:zhaoying@csu.edu.cn
- Funds：
  
  the National Natural Science Foundation of China(61872389);the National Natural Science Foundation of China(61502540);the National Natural Science Foundation of China(61672538);the National Natural Science Foundation of China(61872388);the Natural Science Foundation of Hunan Province, China(2015JJ4077);the Natural Science Foundation of Hunan Province, China(2019JJ40406);the Natural Science Foundation of Hunan Province, China(2017JJ2330);the Changsha Science and Technology Plan Key Project, China(kq1801066);the Fundamental Research Funds for the Central Universities of Central South University, China(2018zzts065)
- DOI：10.1631/FITEE.1900532
  中图分类号： TP39
- 收稿：2019-09-28，
  
  修回：2020-;3-;6，
  
  纸质出版：2020-04
- Accepted：
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夏佳志, 张宇鸿, 叶慧, 等. SuPoolVisor：矿池监管可视分析系统[J]. 信息与电子工程前沿（英文）, 2020,21(4):507-523.

Jia-zhi XIA, Yu-hong ZHANG, Hui YE, et al. SuPoolVisor: a visual analytics system for mining pool surveillance[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(4): 507-523.
夏佳志, 张宇鸿, 叶慧, 等. SuPoolVisor：矿池监管可视分析系统[J]. 信息与电子工程前沿（英文）, 2020,21(4):507-523. DOI： 10.1631/FITEE.1900532.

Jia-zhi XIA, Yu-hong ZHANG, Hui YE, et al. SuPoolVisor: a visual analytics system for mining pool surveillance[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(4): 507-523. DOI： 10.1631/FITEE.1900532.

摘要

在过去十年中，以比特币为代表的加密货币充分展示其在支付和货币系统中的巨大优势与潜力。矿池被认为是比特币的来源，也是市场稳定的基石。对矿池的监管可帮助监管机构有效评估比特币的整体健康状况。但是，矿池匿名性和分析海量交易的难度限制了更深入的分析。此外，对多源异构数据直观和全面的监管也是一个挑战。本文设计并实现一个交互式可视分析系统SuPoolVisor，它可对矿池进行可视化监管，并支持使用可视推理对矿池去匿名化。SuPoolVisor支持矿池和地址两个级别的分析。在矿池级别，使用排序的河流图呈现矿池算力随时间演变情况，并在其他两个视图中设计特殊图形以说明矿池的影响范围和矿池成员迁移。在地址级别，使用力导向图和大规模序列视图呈现矿池中的动态地址网络。特别地，这两个视图与Radviz视图的组合，可用于矿池成员去匿名化的迭代可视推理过程，这些视图都提供了用于跨视图分析和标识的交互功能。我们与该领域专家紧密合作完成3个真实案例，并在案例中证明SuPoolVisor的有效性和可用性。

Abstract

Cryptocurrencies represented by Bitcoin have fully demonstrated their advantages and great potential in payment and monetary systems during the last decade. The mining pool

which is considered the source of Bitcoin

is the cornerstone of market stability. The surveillance of the mining pool can help regulators effectively assess the overall health of Bitcoin and issues. However

the anonymity of mining-pool miners and the difficulty of analyzing large numbers of transactions limit in-depth analysis. It is also a challenge to achieve intuitive and comprehensive monitoring of multi-source heterogeneous data. In this study

we present SuPoolVisor

an interactive visual analytics system that supports surveillance of the mining pool and de-anonymization by visual reasoning. SuPoolVisor is divided into pool level and address level. At the pool level

we use a sorted stream graph to illustrate the evolution of computing power of pools over time

and glyphs are designed in two other views to demonstrate the influence scope of the mining pool and the migration of pool members. At the address level

we use a force-directed graph and a massive sequence view to present the dynamic address network in the mining pool. Particularly

these two views

together with the Radviz view

support an iterative visual reasoning process for de-anonymization of pool members and provide interactions for cross-view analysis and identity marking. Effectiveness and usability of SuPoolVisor are demonstrated using three cases

in which we cooperate closely with experts in this field.

关键词

Keywords

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