Maximal Extractable Value in Decentralized Finance: Taxonomy, Detection, and Mitigation
Huned Materwala, Shraddha M. Naik, Aya Taha, Tala Abdulrahman Abed, and Davor Svetinovic

TL;DR
This paper provides a comprehensive survey of Maximal Extractable Value (MEV) in DeFi, including its taxonomy, detection methods, mitigation strategies, and the challenges faced, aiming to improve security and fairness in DeFi ecosystems.
Contribution
It introduces a novel taxonomy of MEV transactions, critically analyzes detection and mitigation approaches, and discusses challenges and potential solutions in managing MEV in DeFi.
Findings
Effective detection approaches vary in accuracy for different transaction types.
Current mitigation strategies have limitations in preventing MEV exploitation.
Understanding MEV taxonomy aids in developing better detection and mitigation tools.
Abstract
Decentralized Finance (DeFi) leverages blockchain-enabled smart contracts to deliver automated and trustless financial services without the need for intermediaries. However, the public visibility of financial transactions on the blockchain can be exploited, as participants can reorder, insert, or remove transactions to extract value, often at the expense of others. This extracted value is known as the Maximal Extractable Value (MEV). MEV causes financial losses and consensus instability, disrupting the security, efficiency, and decentralization goals of the DeFi ecosystem. Therefore, it is crucial to analyze, detect, and mitigate MEV to safeguard DeFi. Our comprehensive survey offers a holistic view of the MEV landscape in the DeFi ecosystem. We present an in-depth understanding of MEV through a novel taxonomy of MEV transactions supported by real transaction examples. We perform a…
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Taxonomy
TopicsHousing Market and Economics · Banking stability, regulation, efficiency
