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Tracking Counterfeit Cryptocurrency End-to-end

Published: 06 June 2021 Publication History

Abstract

With the growth of the cryptocurrency ecosystem, there is expanding evidence that counterfeit cryptocurrency has also appeared. In this paper, we empirically explore the presence of counterfeit cryptocurrencies on Ethereum and measure their impact. By analyzing over 190K ERC-20 tokens (or cryptocurrencies) on Ethereum, we have identified 2,117 counterfeit tokens that target 94 of the 100 most popular cryptocurrencies. We perform an end-to-end characterization of the counterfeit token ecosystem, including their popularity, creators and holders, fraudulent behaviors and advertising channels. Through this, we have identified two types of scams related to counterfeit tokens and devised techniques to identify such scams. We observe that over 7,104 victims were deceived in these scams, and the overall financial loss sums to a minimum of $17 million (74,271.7 ETH). Our findings demonstrate the urgency to identify counterfeit cryptocurrencies and mitigate this threat.

Supplementary Material

MP4 File (Tracking counterfeit cryptocurrency end to end-sigmet202.mp4)
The video introduces counterfeit cryptocurrency, which is the imitation currency that is produced without the legal sanction of government. We empirically explore the presence of counterfeit cryptocurrencies on Ethereum and measure their impact. By analyzing over 190K ERC-20 tokens on Ethereum, we identified 2,117 counterfeit tokens that target 94 of the 100 most popular cryptocurrencies. We perform an end-to-end characterization of the counterfeit token ecosystem, including their popularity, creators and holders, fraudulent behaviors and advertising channels. We identified two types of scams related to counterfeit tokens and devised techniques to identify such scams. We observe that over 7,104 victims were deceived in these scams, and the overall financial loss sums to a minimum of 17 million. Our findings demonstrate the urgency to identify counterfeit cryptocurrencies and mitigate this threat.

Reference

[1]
Bingyu Gao, Haoyu Wang, Pengcheng Xia, Siwei Wu, Yajin Zhou, Xiapu Luo, and Gareth Tyson. 2021. Tracking Counterfeit Cryptocurrency End-to-end. Proc. ACM Meas. Anal.Comput. Syst., Vol. 4, 3 (2021).

Cited By

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  • (2023)Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An OverviewIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12345010:5(1105-1121)Online publication date: May-2023
  • (2022)Cryptocurrencies and future financial crimeCrime Science10.1186/s40163-021-00163-811:1Online publication date: 5-Jan-2022
  • (2022)Tracking Counterfeit Cryptocurrency End-to-endACM SIGMETRICS Performance Evaluation Review10.1145/3543516.345628249:1(33-34)Online publication date: 7-Jun-2022
  • Show More Cited By

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cover image ACM Conferences
SIGMETRICS '21: Abstract Proceedings of the 2021 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems
May 2021
97 pages
ISBN:9781450380720
DOI:10.1145/3410220
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2021

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Author Tags

  1. blockchain
  2. counterfeit cryptocurrency
  3. ethereum
  4. scam

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SIGMETRICS '21
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Overall Acceptance Rate 459 of 2,691 submissions, 17%

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Cited By

View all
  • (2023)Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An OverviewIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12345010:5(1105-1121)Online publication date: May-2023
  • (2022)Cryptocurrencies and future financial crimeCrime Science10.1186/s40163-021-00163-811:1Online publication date: 5-Jan-2022
  • (2022)Tracking Counterfeit Cryptocurrency End-to-endACM SIGMETRICS Performance Evaluation Review10.1145/3543516.345628249:1(33-34)Online publication date: 7-Jun-2022
  • (2022)Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work2022 IEEE International Conference on Blockchain (Blockchain)10.1109/Blockchain55522.2022.00042(250-257)Online publication date: Aug-2022

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