论文标题
表征EOSIO区块链
Characterizing EOSIO Blockchain
论文作者
论文摘要
EOSIO自2018年6月的主网发布以来已成为最受欢迎的区块链平台之一。与传统的基于POW的系统(例如,比特币和以太坊)相比,该系统受到低通量的限制,EOSIO是EOSIO是第一个高吞吐量授权证明的Stake System证明,许多应用程序已广泛采用。尽管Eosio拥有数百万个帐户和数十亿美元的交易,但对其生态系统,尤其是与安全和欺诈有关的生态系统知之甚少。在本文中,我们对EOSIO区块链及其相关的DAPP进行了大规模的测量研究。我们收集了一个大规模的EOSIO数据集,并表征包括汇款,帐户创建和合同调用在内的活动。利用我们的见解,我们开发了自动检测机器人和欺诈活动的技术。我们发现了数千个机器人帐户(平台中的30多个帐户)和许多现实世界攻击(301个攻击帐户)。到学习时,DAPP团队已经确认了80个攻击帐户,总共造成了828,824个EOS令牌损失(约260万美国\ $)。
EOSIO has become one of the most popular blockchain platforms since its mainnet launch in June 2018. In contrast to the traditional PoW-based systems (e.g., Bitcoin and Ethereum), which are limited by low throughput, EOSIO is the first high throughput Delegated Proof of Stake system that has been widely adopted by many applications. Although EOSIO has millions of accounts and billions of transactions, little is known about its ecosystem, especially related to security and fraud. In this paper, we perform a large-scale measurement study of the EOSIO blockchain and its associated DApps. We gather a large-scale dataset of EOSIO and characterize activities including money transfers, account creation and contract invocation. Using our insights, we then develop techniques to automatically detect bots and fraudulent activity. We discover thousands of bot accounts (over 30\% of the accounts in the platform) and a number of real-world attacks (301 attack accounts). By the time of our study, 80 attack accounts we identified have been confirmed by DApp teams, causing 828,824 EOS tokens losses (roughly 2.6 million US\$) in total.