【Author】
Chen, Ting; Li, Zihao; Zhang, Yufei; Luo, Xiapu; Chen, Ang; Yang, Kun; Hu, Bin; Zhu, Tong; Deng, Shifang; Hu, Teng; Chen, Jiachi; Zhang, Xiaosong
【Source】2019 39TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2019)
【Abstract】Ethereum is the largest blockchain platform supporting smart contracts with the second biggest market capitalization. Ethereum data can yield many useful insights because of the large volume of transactions, accounts and blocks as well as the popular applications developed as smart contracts. Studying Ethereum data can also reveal many new attacks to the platform and its smart contracts. Unfortunately, it is non-trivial to systematically explore Ethereum because it involves massive heterogeneous data, which are produced and stored in different ways. Although a few recent studies report some interesting observations about Ethereum, they are limited by their data acquisition methods which cannot provide comprehensive and precise data. In this paper, to fill the gap, we propose DataEther, a systematic and high-fidelity data exploration framework for Ethereum by exploiting its internal mechanisms. Besides supporting the analyses in existing studies, DataEther further empowers users to explore unknown phenomena and obtain in-depth understandings. We first describe how we tackle the challenging issues in developing DataEther, and then use four data-centric applications to demonstrate its usage and report many new observations.
【摘要】以太坊是最大的区块链平台，支持智能合约，市值排名第二。由于大量交易、账户和区块以及作为智能合约开发的流行应用程序，以太坊数据可以产生许多有用的见解。研究以太坊数据还可以揭示许多针对该平台及其智能合约的新攻击。不幸的是，系统地探索以太坊并非易事，因为它涉及大量以不同方式生成和存储的异构数据。尽管最近一些研究报告了一些关于以太坊的有趣观察，但它们受到数据获取方法的限制，不能提供全面和准确的数据。在本文中，为了填补这一空白，我们提出了dat以太坊，通过利用其内部机制，一个系统的、高保真的以太坊数据探索框架。在支持现有研究分析的基础上，DataEther进一步帮助用户探索未知现象，获得更深入的理解。我们首先描述如何解决开发DataEther过程中遇到的挑战，然后使用四个以数据为中心的应用程序演示其用法并报告许多新的观察结果。
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