Goplus team's review paper on smart contracts and DeFi security officially accepted by a Chinese Academy of Sciences Zone 1 TOP journal
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Goplus team's review paper on smart contracts and DeFi security officially accepted by a Chinese Academy of Sciences Zone 1 TOP journal
The paper systematically reviews research progress in the field of DeFi security, focusing on key directions such as vulnerability detection, attack tracing, risk assessment, and automated remediation.
Navigating Web3 tides with focused insightsComprehensive Review of Smart Contract and DeFi Security: Attack, Vulnerability Detection, and Automated Repair
Recently, GoPlus's survey paper on smart contract and decentralized finance (DeFi) security, titled "Comprehensive Review of Smart Contract and DeFi Security: Attack, Vulnerability Detection, and Automated Repair," has been officially accepted by the prestigious journal Expert Systems With Applications, a Chinese Academy of Sciences (CAS) Zone 1 TOP journal!
Established in 1990, Expert Systems With Applications is a leading journal under Elsevier, specializing in computer science and artificial intelligence. It currently boasts an impact factor of 7.5 and is ranked as a CAS Zone 1 TOP journal and Q1 in the JCR classification.
With the rapid development of DeFi and the emergence of peer-to-peer financial ecosystems, the vast assets locked within protocols have become prime targets for attackers, resulting in billions of dollars in security losses. Although numerous defensive strategies have been proposed by both industry and academia, systematic and comprehensive studies on DeFi and smart contract security remain relatively scarce.
To bridge this research gap, the paper systematically reviews recent advances in DeFi security, with a focus on key areas including vulnerability detection, attack tracing, risk assessment, and automated repair. Specific contributions include:
· A systematic summary of major security threats facing DeFi, categorizing historical attacks into six classes;
· Empirical evaluation of nine mainstream DeFi security tools covering vulnerability detection and risk assessment capabilities;
· Analysis of the applicability and effectiveness of 38 smart contract vulnerability detection tools;
· Preliminary exploration of the application potential of eight automated repair tools in DeFi scenarios.
To support future research and tool development, the paper also constructs and publicly releases a standardized dataset comprising 99 DeFi protocols and 7,340 smart contracts, covering six typical attack types, aiming to enhance the overall security posture of the DeFi community.
This study not only provides a systematic and comprehensive reference framework for academia but also offers practical guidance for evaluating and defending against threats, and is expected to play a positive role in advancing the development of DeFi security infrastructure.
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