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DAG Protocol Achieves MEV Protection with Zero Overhead Fino, a new DAG-based BFT protocol, integrates a commit-reveal scheme to achieve Blind Order-Fairness, eliminating MEV risk with zero message overhead and no latency penalty ∞ Research
My Journey into Next-Generation MEV Mitigation Next-generation MEV mitigation refers to advanced technologies and techniques designed to prevent or minimize MEV extraction on blockchain networks These solutions aim to create a fairer and more secure environment for users, while maintaining the decentralization and integrity of the network
DAG Consensus Achieves Blind Order-Fairness Mitigating MEV The next logical step involves formalizing the integration of this Blind Order-Fairness primitive into existing, high-throughput BFT protocols and developing efficient threshold cryptography schemes that minimize the latency overhead introduced by the commit-and-reveal phases, moving toward a truly fair and performant transaction environment
Secure Your Transactions from MEV Exploitation ∞ Guide Commit-Reveal Schemes ∞ Require users to first commit to a transaction and then reveal its details, obscuring intent until the reveal phase Gas Price Optimization ∞ Employ dynamic gas pricing or specific bidding strategies to avoid predictable patterns exploited by MEV bots
Formalizing MEV as a Game to Quantify Mitigation Strategies Game theory formalizes the MEV supply chain, proving unconstrained transaction ordering creates a systemic welfare loss, unlocking quantified mitigation via mechanism design ∞ Research
Medium MEV (Maximal Extractable Value) is when bots and validators front-run, back-run, or sandwich transactions for profit → draining users and destabilizing markets It’s like letting someone cut
How Protocol Designers Can Implement MEV Redistribution for Fairer DeFi . . . Notable example: RediSwap’s AMM with MEV redistribution and Aave’s exploration of Chainlink SVR for fee sharing Integrate MEV-Resistant Transaction Ordering (e g , Fair Ordering Services): Employ transaction ordering solutions like encrypted mempools, batch auctions, or commit-reveal schemes to minimize front-running and sandwich attacks