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.
Multi-Agent Reinforcement Learning Secures Proof-of-Stake against Malicious Nodes
A novel consensus algorithm uses multi-agent reinforcement learning to autonomously detect and penalize malicious nodes, significantly enhancing Proof-of-Stake blockchain security.
Alpenglow Redefines Solana Consensus for Enhanced Speed and Security
Solana's Alpenglow protocol introduces a direct-vote consensus system, drastically reducing transaction latency and strengthening network resilience.
Resource Flexibility Sustains Blockchain Decentralization
This research reveals how adaptable resource use in consensus mechanisms is key to maintaining blockchain decentralization amidst evolving network conditions.
Bayesian Mechanism Design Secures Miner Revenue and User Truthfulness
This research leverages Bayesian game theory to design blockchain transaction fee mechanisms, overcoming prior limitations to enable non-zero miner revenue while maintaining user truthfulness.
Blockchain-Enforced Digital Court Enables Self-Enforcing Mechanism Design
A novel "digital court" leveraging smart contracts ensures agreement enforcement, substituting traditional legal systems with decentralized, trustless mechanisms.
Mechanism Design Enhances Blockchain Consensus Truthfulness and Scalability
This research introduces novel mechanism design principles to fortify blockchain consensus, ensuring truthful block proposals and mitigating fork-related coordination failures.
Quantifying Ethereum MEV Transaction Re-Ordering’s Economic Impact
This research quantifies the significant economic costs and market distortions caused by Maximal Extractable Value (MEV) transaction re-ordering on Ethereum, revealing hidden burdens on users and the critical need for systemic reforms.
Trade Splitting Optimizes MEV Extraction on Fast-Finality Rollups
This research unveils how arbitrageurs strategically fragment transactions to exploit MEV on fast-finality rollups, exposing the limitations of current fee-based ordering.
