Towards a Theory of Maximal Extractable Value I: Constant Function Market Makers
@article{Kulkarni2022TowardsAT, title={Towards a Theory of Maximal Extractable Value I: Constant Function Market Makers}, author={Kshitij Kulkarni and Theo Diamandis and T. Chitra}, journal={ArXiv}, year={2022}, volume={abs/2207.11835} }
Maximal Extractable Value (MEV) represents excess value captured by miners (or validators) from users in a cryptocurrency network. This excess value often comes from reordering users transactions to maximize fees or inserting new transactions that allow a miner to front-run users’ transactions. The most common type of MEV involves what is known as a sandwich attack against a user trading on a popular class of automated market makers known as CFMMs. In this first paper of a series on MEV, we…
8 Citations
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References
SHOWING 1-10 OF 48 REFERENCES
Differential Privacy in Constant Function Market Makers
- Computer ScienceIACR Cryptol. ePrint Arch.
- 2021
This paper analyzes a simple privacy-enhancing mechanism called Uniform Random Execution and proves that it provides (, δ)-differential privacy and investigates the worst case complexity over all private CFMM mechanisms.
Eliminating Sandwich Attacks with the Help of Game Theory
- Computer ScienceAsiaCCS
- 2022
It is unveiled that most broadcasted transactions can avoid sandwich attacks while simultaneously only experiencing a low risk of transaction failure, and it is demonstrated that a constant auto-slippage cannot adjust to varying trade sizes and pool characteristics.
High-Frequency Trading on Decentralized On-Chain Exchanges
- Computer Science2021 IEEE Symposium on Security and Privacy (SP)
- 2021
This work formalizes, analytically exposit and empirically evaluate an augmented variant of front-running: sandwich attacks, which involve front- and back-running victim transactions on a blockchain-based DEX, and quantifies the probability of an adversarial trader being able to undertake the attack, based on the relative positioning of a transaction within a blockchain block.
When does the tail wag the dog? Curvature and market making.
- Economics
- 2020
Liquidity and trading activity on constant function market makers (CFMMs) such as Uniswap, Curve, and Balancer has grown significantly in the second half of 2020. Much of the growth of these…
Improved Price Oracles: Constant Function Market Makers
- EconomicsAFT
- 2020
This paper focuses on the analysis of a very large class of automated market makers, called constant function market makers (or CFMMs), which includes existing popular market makers such as Uniswap, Balancer, and Curve, whose yearly transaction volume totals to billions of dollars.
Unity is Strength: A Formalization of Cross-Domain Maximal Extractable Value
- Computer ScienceArXiv
- 2021
It is found that Cross-Domain MEV can be used to measure the incentive for transaction sequencers in different domains to collude with one another, and study the scenarios in which there exists such an incentive.
Constant Function Market Makers: Multi-Asset Trades via Convex Optimization
- Computer Science, Economics
- 2021
It is observed that various problems of choosing a multi-asset trade can be formulated as convex optimization problems, and can therefore be reliably and efficiently solved.
Flash Boys 2.0: Frontrunning, Transaction Reordering, and Consensus Instability in Decentralized Exchanges
- Computer ScienceArXiv
- 2019
This work highlights the large, complex risks created by transaction-ordering dependencies in smart contracts and the ways in which traditional forms of financial-market exploitation are adapting to and penetrating blockchain economies.
Quantifying Blockchain Extractable Value: How dark is the forest?
- Computer ScienceIEEE Symposium on Security and Privacy
- 2022
This work allows to quantity the BEV danger by deriving the USD extracted from sandwich attacks, liquidations, and decentralized exchange arbitrage, and formalize and analyze emerging BEV relay systems, where miners accept BEV transactions from a centralized relay server instead of the peer-to-peer (P2P) network.
Analyzing and Preventing Sandwich Attacks in Ethereum
- Computer Science
- 2021
A large-scale analysis of sandwich attacks for a time period of twelve months found that during this time there were at least 480’276 attacks leading to an accumulated profit of 64’217 ETH (189’311’716 USD) and it is shown that miners have recently begun to play a more active role in these value extractions which drastically changes the patterns the authors observe.