论文标题
令牌垃圾邮件发送者，地毯拉和狙击手：以太坊和二元智能链（BNB）中代币生态系统的分析
Token Spammers, Rug Pulls, and SniperBots: An Analysis of the Ecosystem of Tokens in Ethereum and in the Binance Smart Chain (BNB)
论文作者
论文摘要
在这项工作中，我们对BNB智能链和以太坊区块链进行纵向分析，从成立到2022年3月。我们研究了令牌和流动性库的生态系统，突出了两个区块链之间的类比和差异。我们发现约60％的令牌持续不到一天。此外，我们发现1％的地址会产生异常数量的令牌（在20％至25％之间）。我们发现这些令牌被用作一次性令牌，以执行特定类型的地毯拉力，我们将其称为1天的地毯拉。我们在两个区块链上量化了此操作的存在，发现其在BNB智能链上的流行率。我们估计1天的地毯会产生2.4亿美元的利润。最后，我们介绍了狙击手机器人，这是一种参与这些活动的新型交易者机器人，我们检测到它们的存在并量化其在地毯拉力操作中的活动。
In this work, we perform a longitudinal analysis of the BNB Smart Chain and Ethereum blockchain from their inception to March 2022. We study the ecosystem of the tokens and liquidity pools, highlighting analogies and differences between the two blockchains. We discover that about 60% of tokens are active for less than one day. Moreover, we find that 1% of addresses create an anomalous number of tokens (between 20% and 25%). We discover that these tokens are used as disposable tokens to perform a particular type of rug pull, which we call 1-day rug pull. We quantify the presence of this operation on both blockchains discovering its prevalence on the BNB Smart Chain. We estimate that 1-day rug pulls generated $240 million in profits. Finally, we present sniper bots, a new kind of trader bot involved in these activities, and we detect their presence and quantify their activity in the rug pull operations.
