A Survey of Vulnerability Detection Techniques by Smart Contract Tools

Date

2024

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Ethereum Blockchain technology introduced a competitive environment in the financial sector. Consequently, new technologies emerged, such as Smart Contracts (SCs), which preclude code corrections due to their immutable nature. However, the incorrect and faulty uploaded SCs led to uninvited penetrations into SCs' accounts, resulting in considerable customer losses. This SC's drawback requires tools to test the SCs and paves the way for research on vulnerability detection techniques. Our survey paper comprehensively reviews 41 SC tools and presents the vulnerability detection techniques (VDTs) of several previously invented tools by dividing them into general and specific classes. Finally, we also perform a classification of detection techniques to standardize the approaches. Thus, our study will help SC developers and security analysts to streamline the security of SCs and reduce the chances of malicious monetary transfers.

Description

© 2013 IEEE. cc-by-nc-nd

Keywords

classification of smart contracts, dynamic analysis, Ethereum blockchain, smart contracts, static analysis, survey, vulnerability detection techniques, vulnerability detection tools

Citation

Khan, Z.A., & Namin, A.S.. 2024. A Survey of Vulnerability Detection Techniques by Smart Contract Tools. IEEE Access, 12. https://doi.org/10.1109/ACCESS.2024.3401623

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