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Go with the -Bitcoin- Flow, with Visual Analytics

Published: 29 August 2017 Publication History

Abstract

Bitcoin is a cryptocurrency and a peer-to-peer payment system, where transactions directly take place between pseudo-anonymous users, without any centralised authority. Since the block-chain (i.e., the public ledger where transactions are registered) is an example of Big Data, a straightforward visualisation is not very informative. For this reason, we employ techniques from Visual Analytics to filter out undesired information in order to obtain a tool to visually analyse the transactions and help its analysis. For instance, different views can highlight miners, or sources and leaves of bitcoin flows, together with the balance of each address and transaction. Moreover, the main view sees transactions as grouped into disconnected "islands", making it possible to focus on only one of them at once.

References

[1]
Giuseppe Di Battista, Valentino Di Donato, Maurizio Patrignani, Maurizio Pizzonia, Vincenzo Roselli, and Roberto Tamassia. 2015. Bitconeview: visualization of flows in the bitcoin transaction graph. In 2015 IEEE Symposium on Visualization for Cyber Security, VizSec. IEEE Computer Society, 1--8.
[2]
Bitcoin-tx-graph-visualizer 2015. http://tinyurl.com/hpj36wd. (2015). Accessed: 2017-01-15.
[3]
Bitnodes 2017. https://bitnodes.21.co. (2017). Accessed: 2017-01-15.
[4]
Blockchain.info 2017. https://blockchain.info/. (2017). Accessed: 2017-01-10.
[5]
Blockr.io 2017. http://blockr.io. (2017). Accessed: 2017-01-10.
[6]
Blockseer 2015. https://www.blockseer.com. (2015). Accessed: 2017-01-15.
[7]
Coin Viz 2017. http://tinyurl.com/jyb3dx4. (2017). Accessed: 2017-01-15.
[8]
Henri Gilbert and Helena Handschuh. 2003. Security analysis of SHA-256 and sisters. In Workshop on Selected Areas in Cryptography. Springer, 175--193.
[9]
Don Johnson, Alfred Menezes, and Scott Vanstone. 2001. The elliptic curve digital signature algorithm (ECDSA). International Journal of Information Security 1, 1 (2001), 36--63.
[10]
Glenn E. Krasner, Stephen T. Pope, and others. 1988. A description of the model-view-controller user interface paradigm in the smalltalk-80 system. Journal of object oriented programming 1, 3 (1988), 26--49.
[11]
Dan McGinn, David Birch, David Akroyd, Miguel Molina-Solana, Yike Guo, and William J Knottenbelt. 2016. Visualizing Dynamic Bitcoin Transaction Patterns. Big Data 4, 2 (2016), 109--119.
[12]
Sarah Meiklejohn, Marjori Pomarole, Grant Jordan, Kirill Levchenko, Damon McCoy, Geoffrey M. Voelker, and Stefan Savage. 2013. A Fistful of Bitcoins: Characterizing Payments Among Men with No Names. In Conference on Internet Measurement Conference (IMC '13). ACM, 127--140.
[13]
Satoshi Nakamoto. 2008. Bitcoin: A Peer-to-Peer Electronic Cash System. http://www.hashcash.org/papers/hashcash.pdf. (2008). {Online; accessed 18-Feb-2017}.
[14]
Fergal Reid and Martin Harrigan. 2011. An Analysis of Anonymity in the Bitcoin System. In PASSAT/SocialCom 2011, Privacy, Security, Risk and Trust. IEEE, 1318--1326.
[15]
Dorit Ron and Adi Shamir. 2013. Quantitative Analysis of the Full Bitcoin Transaction Graph. In Financial Cryptography and Data Security (LNCS), Vol. 7859. Springer, 6--24.
[16]
Skry 2017. https://skry.tech. (2017). Accessed: 2017-01-15, now acquired by http://bloq.com.
[17]
Michele Spagnuolo, Federico Maggi, and Stefano Zanero. 2014. BitIodine: Extracting Intelligence from the Bitcoin Network. In Financial Cryptography and Data Security (LNCS), Vol. 8437. Springer, 457--468.
[18]
Wizbit 2017. https://blocks.wizb.it. (2017). Accessed: 2017-01-15.
[19]
Pak Chung Wong and Jim Thomas. 2004. Visual Analytics. IEEE Comput. Graph. Appl. 24, 5 (2004), 20--21.

Cited By

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  • (2024)A BTN-Based Method for Multi-Entity Bitcoin Transaction Analysis and Influence AssessmentDistributed Ledger Technologies: Research and Practice10.1145/36861683:4(1-23)Online publication date: 2-Aug-2024
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  • (2023)Visual Analytics for Phishing Scam Identification in Blockchain Transactions with Multiple Model ComparisonProceedings of the 16th International Symposium on Visual Information Communication and Interaction10.1145/3615522.3615540(1-9)Online publication date: 22-Sep-2023
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cover image ACM Other conferences
ARES '17: Proceedings of the 12th International Conference on Availability, Reliability and Security
August 2017
853 pages
ISBN:9781450352574
DOI:10.1145/3098954
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 August 2017

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Author Tags

  1. Analysis Tool
  2. Bitcoin
  3. Visual Analytics

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  • Short-paper
  • Research
  • Refereed limited

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ARES '17
ARES '17: International Conference on Availability, Reliability and Security
August 29 - September 1, 2017
Reggio Calabria, Italy

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ARES '17 Paper Acceptance Rate 100 of 191 submissions, 52%;
Overall Acceptance Rate 228 of 451 submissions, 51%

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Cited By

View all
  • (2024)A BTN-Based Method for Multi-Entity Bitcoin Transaction Analysis and Influence AssessmentDistributed Ledger Technologies: Research and Practice10.1145/36861683:4(1-23)Online publication date: 2-Aug-2024
  • (2024)UTXOAnalysis: A distributed graph storage and analysis system for UTXO-based cryptocurrenciesComputers and Electrical Engineering10.1016/j.compeleceng.2024.109760120(109760)Online publication date: Dec-2024
  • (2023)Visual Analytics for Phishing Scam Identification in Blockchain Transactions with Multiple Model ComparisonProceedings of the 16th International Symposium on Visual Information Communication and Interaction10.1145/3615522.3615540(1-9)Online publication date: 22-Sep-2023
  • (2023)A Framework for User-Centric Visualisation of Blockchain Transactions in Critical InfrastructureProceedings of the 5th ACM International Symposium on Blockchain and Secure Critical Infrastructure10.1145/3594556.3594624(44-52)Online publication date: 10-Jul-2023
  • (2023)NFTDisk: Visual Detection of Wash Trading in NFT MarketsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581466(1-15)Online publication date: 19-Apr-2023
  • (2023)BitAnalysis: A Visualization System for Bitcoin Wallet InvestigationIEEE Transactions on Big Data10.1109/TBDATA.2022.31886609:2(621-636)Online publication date: 1-Apr-2023
  • (2023)An Ensemble Learning Approach for Classifying Illicit Transactions in Bitcoin2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)10.1109/ICTACS59847.2023.10390133(76-81)Online publication date: 1-Nov-2023
  • (2023)Blockchain cryptocurrency abnormal behavior detection based on improved graph convolutional neural networks2023 International Conference on Data Security and Privacy Protection (DSPP)10.1109/DSPP58763.2023.10404590(216-222)Online publication date: 16-Oct-2023
  • (2023)CryptoComparatorComputers and Graphics10.1016/j.cag.2023.05.008114:C(276-285)Online publication date: 1-Aug-2023
  • (2023)BTC-Shadow: an analysis and visualization system for exposing implicit behaviors in Bitcoin transaction graphsFrontiers of Computer Science10.1007/s11704-023-2531-017:6Online publication date: 20-May-2023
  • Show More Cited By

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