LLMs Automate Smart Contract Formal Verification Property Generation
A novel system leverages large language models and retrieval-augmented generation to automate smart contract property creation, enhancing security and accessibility.
Formal Verification Secures Dynamic Stake DAG Consensus
Formally verifying DAG-based BFT consensus with dynamic stake establishes provable nonforking, foundational for adaptive blockchain architectures.
SNARK Implementation Security: A Comprehensive Vulnerability Taxonomy
This research comprehensively maps vulnerabilities across SNARK implementation layers, shifting focus from theoretical guarantees to practical security challenges.
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.
Navigating Zero-Knowledge Proof Frameworks: A Comprehensive Developer’s Guide
This survey demystifies the complex Zero-Knowledge Proof landscape, offering a critical evaluation of frameworks to accelerate practical application development.
Formalizing Maximal Extractable Value for Blockchain Security
This research establishes a formal theory for Maximal Extractable Value (MEV), providing a foundational framework to analyze and mitigate economic attacks on public blockchains.
Optimizing Zero-Knowledge Proofs for Practical Scalability and Efficiency
This research introduces novel Zero-Knowledge Proof protocols that significantly reduce prover time and enhance efficiency, enabling scalable and trustless applications in blockchain and AI.
Formalizing Maximal Extractable Value for Robust Blockchain Security Proofs
A rigorous model of Maximal Extractable Value provides a foundational framework for proving contract security and mitigating adversarial value extraction.
Formalizing MEV Theory for Enhanced Blockchain Security and Decentralization
This research establishes a formal theory of Maximal Extractable Value (MEV), providing a foundational model to prove security against economic attacks that undermine blockchain integrity.
