计算机科学
领域(数学分析)
套利
光学(聚焦)
权力下放
价值(数学)
块链
比例(比率)
理论计算机科学
数据挖掘
计算机安全
数学
机器学习
财务
业务
物理
法学
数学分析
政治学
量子力学
光学
作者
Johan Hagelskjar Sjursen,Weizhi Meng,Wei-Yang Chiu
标识
DOI:10.1007/978-981-99-7356-9_37
摘要
In the research society, many solutions to solving blockchain scaling have been tried historically, usually by compromising on decentralisation. Ethereum has chosen to scale by switching to Proof of Stake (PoS) consensus and adding data sharding to allow Layer 2 execution to be cheaper. However, in the light of cross-domain Maximal Extractable Value (MEV), even this strategy may have centralising forces built-in. In this work, we focus on cross domain MEV and try to identify cross domain arbitrage. We achieve this by extracting Uniswap data from four different domains and analysing the dataset with two different methods. Based on the analysis, we are successful in identifying one smart contract’s address, which is deployed to multiple domains, engaging in cross domain arbitrage. We also illustrate the difficulties when quantifying cross-domain MEV in practice.
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