SuPoolVisor: a visual analytics system for mining pool surveillance

被引:0
作者
Jia-zhi Xia
Yu-hong Zhang
Hui Ye
Ying Wang
Guang Jiang
Ying Zhao
Cong Xie
Xiao-yan Kui
Sheng-hui Liao
Wei-ping Wang
机构
[1] Central South University,School of Computer Science and Engineering
[2] Facebook,undefined
来源
Frontiers of Information Technology & Electronic Engineering | 2020年 / 21卷
关键词
Bitcoin mining pool; Visual analytics; Transaction data; Visual reasoning; FinTech; TP39;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:507 / 523
页数:16
相关论文
共 104 条
[1]  
Barkatullah J(2015)Goldstrike 1: CoinTerra's first-generation cryptocurrency mining processor for Bitcoin IEEE Micro 35 68-76
[2]  
Hanke T(2015)Bitcoin: economics, technology, and governance J Econom Persp 29 213-238
[3]  
Böhme R(2014)Visual abstraction and exploration of multi-class scatterplots IEEE Trans Vis Comput Graph 20 1683-1692
[4]  
Christin N(2018)Supporting story synthesis: bridging the gap between visual analytics and storytelling IEEE Trans Vis Comput Graph 14 1-2256
[5]  
Edelman B(2016)Gameflow: narrative visualization of NBA basketball games IEEE Trans Multim 18 2247-2648
[6]  
Chen HD(2018)Vaud: a visual analysis approach for exploring spatio-temporal urban data IEEE Trans Vis Comput Graph 24 2636-565
[7]  
Chen W(2018)RelationLines: visual reasoning of egocentric relations from heterogeneous urban data ACM Trans Intell Syst Technol 10 2-2567
[8]  
Mei HH(2019)Structure-based suggestive exploration: a new approach for effective exploration of large networks IEEE Trans Vis Comput Graph 25 555-1806
[9]  
Chen SM(2019)COPE: interactive exploration of co-occurrence patterns in spatial time series IEEE Trans Vis Comput Graph 25 2554-100
[10]  
Li J(2016)Predicting fluctuations in cryptocurrency transactions based on user comments and replies PLoS ONE 11 e0161197-87