Bayesian Mechanism Design Yields Truthful, Collusion-Proof Blockchain Transaction Fees
This research introduces an auxiliary mechanism method to design transaction fee mechanisms that overcome existing impossibility results, enabling positive miner revenue while preserving truthfulness and collusion-proof properties in blockchain systems.
Leaderless Blockchain Transaction Fee Mechanisms with Strong Incentives
A new mechanism, FPA-EQ, solves incentive alignment for block producers in leaderless blockchains, enabling robust, efficient transaction fee markets.
Mechanism Design Secures Blockchain Consensus against Untruthful Forks
This research introduces revelation mechanisms to ensure truthful blockchain consensus, leveraging economic incentives to prevent malicious forks and enhance network reliability.
MEV Necessitates New Blockchain Transaction Fee Mechanism Designs
This research fundamentally redefines transaction fee mechanism design by integrating active block producer behavior and proposing a novel sybil-proof auction for enhanced welfare.
SAKA: A Novel MEV-Resistant Transaction Fee Mechanism
This research introduces the SAKA mechanism, a sybil-proof, incentive-compatible transaction fee design that mitigates MEV's negative impact on blockchain welfare.
MEV Limits Blockchain Scaling, New Auction Reclaims Network Capacity
A new MEV auction shifts on-chain competition off-chain, unlocking true blockchain scalability and fairer resource allocation.
MEV Mitigation via Game Theory and Novel Mechanism Design
This research leverages game theory to model Maximal Extractable Value dynamics, proposing commit-reveal and threshold encryption mechanisms to enhance DeFi fairness.
Protocol-Native MEV Brokering Enhances Blockchain Economic Fairness
A novel ticketing mechanism directly integrates Maximal Extractable Value distribution into the Ethereum protocol, fundamentally reshaping network economics.
Game Theory Quantifies MEV Harm, Proposes Mitigation Strategies
This research formalizes MEV extraction as a multi-stage game, revealing systemic welfare losses and proposing cryptographic mechanisms to restore market fairness.
