Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum-Reference-Cited by-同舟云学术

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Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
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Author:

Wen Xiaolin¹^ORCID,Yeo Kim Siang²^ORCID,Wang Yong³^ORCID,Cheng Ling⁴^ORCID,Zhu Feida²^ORCID,Zhu Min⁵^ORCID

Affiliation:

1. Sichuan University, China and School of Computing and Information Systems, Singapore Management University, Singapore

2. Singapore Management University, Singapore

3. School of Computing and Information Systems, Singapore Management University, Singapore

4. School of Computing and Information System, Singapore Management University, Singapore

5. College of Computer Science, Sichuan University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544549.3585861

Reference31 articles.

1. [ 1 ] Mansoor Ahmed , Ilia Shumailov , and Ross Anderson . 2018 . Tendrils of crime: Visualizing the diffusion of stolen bitcoins . In Proceedings of International Workshop on Graphical Models for Security. Springer, 1–12 . [1] Mansoor Ahmed, Ilia Shumailov, and Ross Anderson. 2018. Tendrils of crime: Visualizing the diffusion of stolen bitcoins. In Proceedings of International Workshop on Graphical Models for Security. Springer, 1–12.

2. The mathematics of Ponzi schemes

3. An Analysis of Bitcoin Laundry Services

4. Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact

5. Data Mining for Detecting Bitcoin Ponzi Schemes

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