Formalizing MEV Theory for Provably Secure Blockchain Architectures
This research establishes a foundational mathematical framework for Maximal Extractable Value, enabling rigorous analysis and provably secure defenses against economic exploitation.
Formalizing MEV: Rigorous Model for Provably Secure Blockchain Architectures
This research introduces a formal, abstract model for Maximal Extractable Value, enabling systematic analysis and the development of provably secure blockchain protocols.
Formalizing MEV Theory for Provable Blockchain Security
A new formal theory for Maximal Extractable Value offers a robust framework to understand and secure blockchain systems against economic attacks.
Batch Processing Eliminates MEV in Automated Market Makers
This research introduces a novel batch-processing mechanism for Automated Market Makers, fundamentally mitigating Miner Extractable Value and fostering equitable transaction execution.
Formalizing MEV for Provable Security in Blockchain Protocols
A new formal theory of MEV provides provable security against economic attacks, differentiating beneficial from malicious value extraction in blockchain protocols.
LLM-driven Property Generation Elevates Smart Contract Formal Verification
This research introduces PropertyGPT, an AI-powered system that automates comprehensive property generation, overcoming a critical bottleneck in smart contract formal verification.
Formalizing Maximal Extractable Value: A Foundational Theory for Blockchain Security
This theory formally defines Maximal Extractable Value, offering a robust framework for proving smart contract security and clarifying adversarial extraction in blockchains.
