论文标题
SOK:MEV对策:理论与实践
SoK: MEV Countermeasures: Theory and Practice
论文作者
论文摘要
区块链提供了强大的安全保证,但他们无法保护交易的订购。强大的参与者,例如矿工,音序器和复杂的机器人,可以通过选择,排除或重新排序用户交易,从而获得可观的利润。这样的利润称为矿工/最大可提取值或MEV。 MEV对区块链安全和权力下放具有深远的影响。尽管已经提出了许多对策,但对最佳解决方案尚无协议。此外,学术文献中开发的解决方案与从业者广泛采用的解决方案截然不同。由于这些原因,本文将MEV对策理论和实践的知识系统化。贡献是双重的。首先,我们提出了30种MEV对策的全面分类,涵盖了四个不同的技术方向。其次,我们通过经验研究了最受欢迎的基于MEV拍卖的解决方案,并使用了丰富的区块链和MEMPOOL数据。我们还介绍了Mempool Guru系统,该系统是一种公共服务系统,该系统收集,持续和分析以太坊Mempool数据进行研究。除了获得对MEV拍卖平台的现实世界的见解外,我们的研究还阐明了由于最近的OFAC制裁,MEV拍卖平台的普遍审查制度及其对区块链特性的影响。
Blockchains offer strong security guarantees, but they cannot protect the ordering of transactions. Powerful players, such as miners, sequencers, and sophisticated bots, can reap significant profits by selectively including, excluding, or re-ordering user transactions. Such profits are called Miner/Maximal Extractable Value or MEV. MEV bears profound implications for blockchain security and decentralization. While numerous countermeasures have been proposed, there is no agreement on the best solution. Moreover, solutions developed in academic literature differ quite drastically from what is widely adopted by practitioners. For these reasons, this paper systematizes the knowledge of the theory and practice of MEV countermeasures. The contribution is twofold. First, we present a comprehensive taxonomy of 30 proposed MEV countermeasures, covering four different technical directions. Secondly, we empirically studied the most popular MEV-auction-based solution with rich blockchain and mempool data. We also present the Mempool Guru system, a public service system that collects, persists, and analyzes the Ethereum mempool data for research. In addition to gaining insights into MEV auction platforms' real-world operations, our study shed light on the prevalent censorship by MEV auction platforms as a result of the recent OFAC sanction, and its implication on blockchain properties.