Advancements in Smart Contract Security and Vulnerability Detection

The field of smart contract security and vulnerability detection is rapidly evolving, with a growing focus on innovative solutions to protect against increasingly sophisticated attacks. Recent developments have seen the introduction of novel approaches, such as the use of large language models and control flow integrity, to enhance the security and reliability of smart contracts. These advancements have the potential to significantly improve the detection and prevention of vulnerabilities, ultimately enhancing the overall security of the blockchain ecosystem. Noteworthy papers in this area include SmartBugBert, which achieves high precision and recall in detecting vulnerabilities directly from bytecode, and Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM, which demonstrates the effectiveness of fine-tuned large language models in detecting non-machine-auditable vulnerabilities. Overall, the field is moving towards more robust and innovative solutions to address the evolving threat landscape in smart contract security.

Sources

SoK: Attacks on Modern Card Payments

Towards Source Mapping for Zero-Knowledge Smart Contracts: Design and Preliminary Evaluation

ICCheck: A Portable, Language-Agnostic Tool for Synchronizing Code Clones

Generative Large Language Model usage in Smart Contract Vulnerability Detection

SmartBugBert: BERT-Enhanced Vulnerability Detection for Smart Contract Bytecode

Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM

Secure Smart Contract with Control Flow Integrity

How Do Solidity Versions Affect Vulnerability Detection Tools? An Empirical Study

Blockchain Oracles for Real Estate Rental

Security Vulnerabilities in Ethereum Smart Contracts: A Systematic Analysis

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