解开EOSIO区块链的代币生态
Unravelling Token Ecosystem of EOSIO Blockchain
摘要:
作为最大的首次代币发行项目,EOSIO吸引了加密货币市场的极大兴趣。尽管它的流行和繁荣(例如,从2018年6月8日到2020年8月5日发生了26,311,585,008笔代币交易),几乎没有调查EOSIO代币生态系统的工作。为了填补这一空白,我们率先对EOSIO代币生态系统进行了系统的调查,对整个链上EOSIO数据(近1.35亿个区块)进行了全面的图形分析。我们构造令牌创建者图、令牌合同创建者图、令牌持有者图和令牌转移图来表征令牌创建者、持有者和转移活动。通过图形分析,我们得到了许多有见地的发现,并观察到一些异常的交易模式。此外,我们还提出了一个伪令牌检测算法,用于识别由伪用户或伪交易生成的令牌,并分析其相应的操纵行为。评估结果也证明了我们的算法的有效性。
英文摘要:
Being the largest Initial Coin Offering project, EOSIO has attracted great interest in cryptocurrency markets. Despite its popularity and prosperity (e.g., 26,311,585,008 token transactions occurred from June 8, 2018 to Aug. 5, 2020), there is almost no work investigating the EOSIO token ecosystem. To fill this gap, we are the first to conduct a systematic investigation on the EOSIO token ecosystem by conducting a comprehensive graph analysis on the entire on-chain EOSIO data (nearly 135 million blocks). We construct token creator graphs, token-contract creator graphs, token holder graphs, and token transfer graphs to characterize token creators, holders, and transfer activities. Through graph analysis, we have obtained many insightful findings and observed some abnormal trading patterns. Moreover, we propose a fake-token detection algorithm to identify tokens generated by fake users or fake transactions and analyze their corresponding manipulation behaviors. Evaluation results also demonstrate the effectiveness of our algorithm.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。