Vulnerability detection techniques for smart contracts: A systematic literature review

【Author】 Vidal, Fernando Richter; Ivaki, Naghmeh; Laranjeiro, Nuno

【Source】JOURNAL OF SYSTEMS AND SOFTWARE

【影响因子】3.514

【Abstract】The number of applications supported by blockchain smart contracts has been greatly increasing in recent years, with smart contracts now being used across several domains, such as the music industry, finance, and retail, to name a few. Despite being used in business-critical contexts, the number of security vulnerabilities in smart contracts has also been increasing, with many of them being exploited and resulting in huge financial and reputation losses. This is despite the enormous effort that is being placed into the research and development of vulnerability detection tools and techniques, which have also greatly increased in number and type in the last few years. Motivated by the recent increase in both vulnerabilities and vulnerability detection techniques, this paper reviews the latest research in smart contract vulnerability detection, emphasizing the techniques being used, the vulnerabilities targeted, and the characteristics of the dataset used for evaluating the technique. We mapped the vulnerabilities against two common vulnerability classification schemes (DASP and SWC) and performed a consolidated analysis. We identified the current research trends and gaps in each technique and highlighted future research opportunities in the field.

【Keywords】Blockchain; Smart contract; Smart contract security; Vulnerability detection; Verification tools

【发表时间】2024 NOV

【收录时间】2024-08-12

【文献类型】综述

【主题类别】

区块链技术-平台项目-智能合约