WTEYE: ERC20加密货币的链上清洗交易检测和量化

IF 6.9 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Blockchain-Research and Applications Pub Date : 2023-03-01 DOI:10.1016/j.bcra.2022.100108
Wei Cui , Cunnian Gao
{"title":"WTEYE: ERC20加密货币的链上清洗交易检测和量化","authors":"Wei Cui ,&nbsp;Cunnian Gao","doi":"10.1016/j.bcra.2022.100108","DOIUrl":null,"url":null,"abstract":"<div><p>Wash trade is a common form of volume manipulation used to attract investors into the market and mislead them into making wrong investment judgments. Wash trade transactions are even more prominent in ERC20 cryptocurrencies. In this paper, we proposed two kinds of algorithms to reserve direct evidence of wash trade based on the on-chain transaction data of ERC20 cryptocurrencies. After labeling the wash trade, we continued to obtain features of the wash trade and quantify the volume of the wash trade. Our experiments show that for most ERC20 cryptocurrencies, the rate of wash trade reached over 15%. Specifically, over 30% of UNI token transactions ​were labeled as wash trade. It is demonstrated that the activations of most ERC20 cryptocurrencies are unreal, and restoring real data is necessary for market regulation.</p></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"4 1","pages":"Article 100108"},"PeriodicalIF":6.9000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"WTEYE: On-chain wash trade detection and quantification for ERC20 cryptocurrencies\",\"authors\":\"Wei Cui ,&nbsp;Cunnian Gao\",\"doi\":\"10.1016/j.bcra.2022.100108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Wash trade is a common form of volume manipulation used to attract investors into the market and mislead them into making wrong investment judgments. Wash trade transactions are even more prominent in ERC20 cryptocurrencies. In this paper, we proposed two kinds of algorithms to reserve direct evidence of wash trade based on the on-chain transaction data of ERC20 cryptocurrencies. After labeling the wash trade, we continued to obtain features of the wash trade and quantify the volume of the wash trade. Our experiments show that for most ERC20 cryptocurrencies, the rate of wash trade reached over 15%. Specifically, over 30% of UNI token transactions ​were labeled as wash trade. It is demonstrated that the activations of most ERC20 cryptocurrencies are unreal, and restoring real data is necessary for market regulation.</p></div>\",\"PeriodicalId\":53141,\"journal\":{\"name\":\"Blockchain-Research and Applications\",\"volume\":\"4 1\",\"pages\":\"Article 100108\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Blockchain-Research and Applications\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2096720922000495\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blockchain-Research and Applications","FirstCategoryId":"1093","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096720922000495","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 5

摘要

洗仓交易是一种常见的成交量操纵形式,用来吸引投资者进入市场,误导他们做出错误的投资判断。洗钱交易在ERC20加密货币中更为突出。本文基于ERC20加密货币链上交易数据,提出了两种保留洗盘交易直接证据的算法。在对洗涤贸易进行标记后,我们继续获得洗涤贸易的特征并量化洗涤贸易的数量。我们的实验表明,对于大多数ERC20加密货币,洗净交易率达到15%以上。具体来说,超过30%的UNI代币交易被标记为清洗交易。研究表明,大多数ERC20加密货币的激活是不真实的,恢复真实数据对于市场监管是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
WTEYE: On-chain wash trade detection and quantification for ERC20 cryptocurrencies

Wash trade is a common form of volume manipulation used to attract investors into the market and mislead them into making wrong investment judgments. Wash trade transactions are even more prominent in ERC20 cryptocurrencies. In this paper, we proposed two kinds of algorithms to reserve direct evidence of wash trade based on the on-chain transaction data of ERC20 cryptocurrencies. After labeling the wash trade, we continued to obtain features of the wash trade and quantify the volume of the wash trade. Our experiments show that for most ERC20 cryptocurrencies, the rate of wash trade reached over 15%. Specifically, over 30% of UNI token transactions ​were labeled as wash trade. It is demonstrated that the activations of most ERC20 cryptocurrencies are unreal, and restoring real data is necessary for market regulation.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
11.30
自引率
3.60%
发文量
0
期刊介绍: Blockchain: Research and Applications is an international, peer reviewed journal for researchers, engineers, and practitioners to present the latest advances and innovations in blockchain research. The journal publishes theoretical and applied papers in established and emerging areas of blockchain research to shape the future of blockchain technology.
期刊最新文献
Partial pre-image attack on Proof-of-Work based blockchains Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT How can the holder trust the verifier? A CP-ABPRE-based solution to control the access to claims in a Self-Sovereign-Identity scenario Privacy-preserving pathological data sharing among multiple remote parties Prism blockchain enabled Internet of Things with deep reinforcement learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1