Decoupling Fair Ordering from Consensus Boosts BFT Performance and Security
The new SpeedyFair protocol totally decouples transaction ordering from BFT consensus, achieving higher performance and eliminating MEV-driven front-running.
MAD-DAG Ledger Function Secures Consensus against MEV-driven Selfish Mining
The Mutually-Assured-Destruction DAG protocol introduces a novel ledger function that destroys competing block content, fundamentally eliminating MEV-based selfish mining incentives.
Threshold Cryptography Secures Transaction Ordering Eliminating Centralized MEV Risk
A threshold decryption protocol forces block ordering before content revelation, fundamentally solving the MEV centralization problem and ensuring transaction fairness.
Decentralized Clock Network Decouples Ordering from Consensus for Fair Transactions
A Decentralized Clock Network assigns provably fair timestamps to transactions, fundamentally eliminating front-running and MEV-driven order manipulation.
Multiple Concurrent Proposers Decouples Block Production to Mitigate MEV Risk
The Multiple Concurrent Proposers protocol uses Verifiable Secret Sharing to enforce selective-censorship resistance, fundamentally decentralizing block sequencing.
DAG Consensus Model Secures Blockchain against MEV-driven Selfish Mining
Introducing the first tractable model for selfish mining on a DAG, this protocol raises the security threshold, enabling robust, practical high-MEV consensus.
Mutual-Assured-Destruction DAG Secures Consensus against MEV-Driven Selfish Mining
MAD-DAG introduces a new incentive-aligned DAG structure, raising the selfish mining profitability threshold from zero to over 11%.
Mechanism Design Secures Leaderless Blockchain Protocols with Shared Fee Incentives
Proposes FPA-EQ, the first TFM for multi-proposer systems, achieving Strongly BPIC to align block producer incentives and maximize welfare.
Decoupling Finality and Verification Using Asynchronous Succinct State Proofs
Asynchronous Succinct State Proofs decouple high-latency state verification from fast consensus, achieving immediate finality and massive throughput scaling.
