BTC-Shadow: an analysis and visualization system for exposing implicit behaviors in Bitcoin transaction graphs

doi:10.1007/s11704-023-2531-0

Front. Comput. Sci.

2023, Vol. 17

Issue (6) : 176215 https://doi.org/10.1007/s11704-023-2531-0

Software

BTC-Shadow: an analysis and visualization system for exposing implicit behaviors in Bitcoin transaction graphs

Ding BAO¹, Wei REN^1,²(

), Yuexin XIANG¹, Weimao LIU³, Tianqing ZHU¹, Yi REN⁴, Kim-Kwang Raymond CHOO⁵

¹. School of Computer Science, China University of Geosciences, Wuhan 430074, China
². Hubei Key Laboratory of Intelligent Geo-Information Processing, Wuhan 430074, China
³. NSFOCUS Technologies Group Co., Ltd., Beijing 100089, China
⁴. School of Computing Sciences, University of East Anglia, Norwich NR4 7TJ, UK
⁵. Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX 78249-0631, USA

Download: PDF(1148 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Corresponding Author(s): Wei REN

Just Accepted Date: 11 April 2023 Issue Date: 15 May 2023

Cite this article:

Ding BAO,Wei REN,Yuexin XIANG, et al. BTC-Shadow: an analysis and visualization system for exposing implicit behaviors in Bitcoin transaction graphs[J]. Front. Comput. Sci., 2023, 17(6): 176215.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-023-2531-0
https://academic.hep.com.cn/fcs/EN/Y2023/V17/I6/176215

Tab.1 Comparison of visualization for Bitcoin transaction graph

Fig.1 Typical graphs of gambling addresses. (a) Heterogeneous; (b) isomorphic

Fig.2 n-hop graphs with different n value. (a) Entire graph; (b) n = 1; (c) n = 2; (d) n = 3; (e) n = 4

Fig.3 Bitcoin trace via UTXO. (a) Cyan node mixes two Bitcoin flows; (b) the Bitcoin flow of red node

1	N, Tovanich N, Soulie N, Heulot P Isenberg . MiningVis: visual analytics of the Bitcoin mining economy. IEEE Transactions on Visualization and Computer Graphics, 2022, 28( 1): 868–878
2	J Z, Xia Y H, Zhang H, Ye Y, Wang G, Jiang Y, Zhao C, Xie X Y, Kui S H, Liao W P Wang . SuPoolVisor: a visual analytics system for mining pool surveillance. Frontiers of Information Technology & Electronic Engineering, 2020, 21( 4): 507–523
3	S, Bistarelli F Santini . Go with the -bitcoin- flow, with visual analytics. In: Proceedings of the 12th International Conference on Availability, Reliability and Security. 2017, 38
4	Sun Y, Xiong H, Yiu S M, Lam K Y. BitVis: an interactive visualization system for bitcoin accounts analysis. In: Proceedings of 2019 Crypto Valley Conference on Blockchain Technology (CVCBT). 2019, 21−25
5	F, Oggier S, Phetsouvanh A Datta . BiVA: Bitcoin network visualization & analysis. In: Proceedings of 2018 IEEE International Conference on Data Mining Workshops (ICDMW). 2018, 1469−1474
6	Kalodner H, Möser M, Lee K, Goldfeder S, Plattner M, Chator A, Narayanan A. BlockSci: design and applications of a blockchain analysis platform. In: Proceedings of the 29th USENIX Conference on Security Symposium. 2020, 153

[1]

FCS-22531-OF-DB_suppl_1

Download

Viewed

Full text

Abstract

Cited

Shared

Discussed