Smart contract security concerns the measures taken to prevent flaws and vulnerabilities in self-executing contracts deployed on a blockchain. It involves rigorous code auditing, formal verification, and adherence to best practices to safeguard against exploits that could lead to loss of funds or manipulation of contract logic. Secure smart contracts are fundamental to the trust and functionality of decentralized applications.
Context
Smart contract security is a perpetual concern in the cryptocurrency news cycle, with frequent reports of exploits resulting in substantial financial losses. Discussions often revolve around common vulnerabilities such as reentrancy attacks, integer overflows, and access control issues. The ongoing development of advanced security tools and auditing methodologies is critical for bolstering confidence in the smart contract ecosystem.
This research establishes a foundational, abstract model for Maximal Extractable Value, enabling rigorous security proofs and advancing blockchain integrity.
This research introduces PropertyGPT, an AI-powered system that automates comprehensive property generation, overcoming a critical bottleneck in smart contract formal verification.
This research establishes a formal theory of Maximal Extractable Value, providing a robust framework for understanding and mitigating economic attacks on blockchains.
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