Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

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

  • Letter
  • Published:
Frontiers of Computer Science Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Tovanich N, Soulie N, Heulot N, Isenberg P. MiningVis: visual analytics of the Bitcoin mining economy. IEEE Transactions on Visualization and Computer Graphics, 2022, 28(1): 868–878

    Article  Google Scholar 

  2. Xia J Z, Zhang Y H, Ye H, Wang Y, Jiang G, Zhao Y, Xie C, Kui X Y, Liao S H, Wang W P. SuPoolVisor: a visual analytics system for mining pool surveillance. Frontiers of Information Technology & Electronic Engineering, 2020, 21(4): 507–523

    Article  MATH  Google Scholar 

  3. Bistarelli S, Santini F. 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. Oggier F, Phetsouvanh S, Datta A. 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

Download references

Acknowledgements

The research was financially supported by the CCF-NSFOCUS Kun-Peng Scientific Research Fund (No. CCF-NSFOCUS2021008), the Provincial Key Research and Development Program of Hubei (No. 2020BAB105), the National Natural Science Foundation of China (Grant No. 61972366), the Knowledge Innovation Program of Wuhan - Basic Research (No. 2022010801010197), the Foundation of Hubei Key Laboratory of Intelligent Geo-Information Processing (No. KLIGIP-2021B06), and the Opening Project of Nanchang Innovation Institute, Peking University (No. NCII2022A02). The work of K.-K. R. Choo was supported only by the Cloud Technology Endowed Professorship.

Author information

Authors and Affiliations

  1. School of Computer Science, China University of Geosciences, Wuhan, 430074, China

    Ding Bao, Wei Ren, Yuexin Xiang & Tianqing Zhu

  2. Hubei Key Laboratory of Intelligent Geo-Information Processing, Wuhan, 430074, China

    Wei Ren

  3. NSFOCUS Technologies Group Co., Ltd., Beijing, 100089, China

    Weimao Liu

  4. School of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, UK

    Yi Ren

  5. Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, 78249-0631, USA

    Kim-Kwang Raymond Choo

Authors
  1. Ding Bao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wei Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yuexin Xiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Weimao Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tianqing Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yi Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Kim-Kwang Raymond Choo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wei Ren.

Electronic Supplementary Material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bao, D., Ren, W., Xiang, Y. et al. BTC-Shadow: an analysis and visualization system for exposing implicit behaviors in Bitcoin transaction graphs. Front. Comput. Sci. 17, 176215 (2023). https://doi.org/10.1007/s11704-023-2531-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11704-023-2531-0

Search

Navigation