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.
Accelerating Zero-Knowledge Proofs for Practical Blockchain Integration
This research introduces novel ZKP protocols, significantly improving proof generation speed to enable broader, more efficient privacy-preserving applications.
Formalizing MEV Theory for Blockchain Security and Mechanism Design
This paper establishes a rigorous, abstract framework for Maximal Extractable Value, enabling systematic analysis and robust defenses against economic exploits in decentralized systems.
Formal Verification Properties for Smart Contract Security
A novel framework defines universal properties—Validity, Liquidity, Fidelity—to rigorously verify smart contract behavior, fundamentally enhancing blockchain security.
Scaling Zero-Knowledge Proofs for Private Aggregation and Delegation
This research introduces novel zero-knowledge proof systems that dramatically reduce server communication costs for private analytics and enhance distributed proof generation scalability, fundamentally improving the efficiency of privacy-preserving computations.
Formally Defining Economic Security for Permissionless Consensus
This research establishes a foundational framework for analyzing the economic security of blockchain consensus protocols, quantifying attack costs to enable more robust designs.
Team Sprint Consensus: Sustainable Blockchain through Collaborative Proof
Proof of Team Sprint redefines blockchain consensus by replacing individual competition with collaborative cryptographic puzzle-solving, drastically reducing energy consumption.
Analyzing Execution Tickets for MEV Capture and Decentralization on Ethereum
This research models Ethereum's Execution Tickets, revealing MEV capture and decentralization challenges, fundamentally shaping future protocol design.
Achieving Accountable Liveness in X-Partially-Synchronous Consensus Networks
This research establishes a precise framework for ensuring network progress and identifying faulty actors within dynamic blockchain environments, foundational for resilient protocol design.
