理解(错误)EOSIO区块链上的行为

Yuheng Huang, Haoyu Wang, Lei Wu, Gareth Tyson, Xiapu Luo, Run Zhang, Xuanzhe Liu, Gang Huang, Xuxian Jiang
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引用次数: 20

摘要

自2018年6月主网上线以来,EOSIO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,它们受到低吞吐量的限制,EOSIO是第一个高吞吐量的权益委托证明系统,已被许多分散应用程序广泛采用。尽管EOSIO拥有数百万个账户和数十亿笔交易,但人们对其生态系统知之甚少,尤其是与安全和欺诈有关的生态系统。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,并描述了包括转账、账户创建和合同调用在内的活动。利用我们的洞察力,我们开发了自动检测机器人和欺诈活动的技术。我们发现了数千个僵尸账户(占平台账户总数的30%以上)和一些真实世界的攻击(301个攻击账户)。到我们研究时,我们发现的80个攻击账户已被DApp团队确认,共造成828,824个EOS代币损失(约260万美元)。
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Understanding (Mis)Behavior on the EOSIO Blockchain
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 decentralized 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) in total.
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