Smart contract vulnerability detection based on dynamic and static combination

In the field of blockchain technology, smart contracts play a core role, but programming oversights may cause serious security risks. This study provides a comprehensive review of the types of smart contract security vulnerabilities and the development of detection techniques. This article conducts a comprehensive review of the current various detection methods, including static and dynamic analysis, and proposes a combined dynamic and static detection method for integer overflow vulnerabilities at the solidity code level and timestamp vulnerabilities at the blockchain system layer. It also analyzes a The performance of a series of mainstream detection tools in terms of detection accuracy and efficiency is compared in depth, and their advantages and limitations are analyzed.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1145/3700058.3700123
Citations
2
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
1.56
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article

Smart contract vulnerability detection based on dynamic and static combination

Xue Liao
2 citations
Blockchain Technology Applications and Security
1.56
article

Smart contract vulnerability detection based on dynamic and static combination

Xue Liao
article en
2 citations

Abstract

In the field of blockchain technology, smart contracts play a core role, but programming oversights may cause serious security risks. This study provides a comprehensive review of the types of smart contract security vulnerabilities and the development of detection techniques. This article conducts a comprehensive review of the current various detection methods, including static and dynamic analysis, and proposes a combined dynamic and static detection method for integer overflow vulnerabilities at the solidity code level and timestamp vulnerabilities at the blockchain system layer. It also analyzes a The performance of a series of mainstream detection tools in terms of detection accuracy and efficiency is compared in depth, and their advantages and limitations are analyzed.

Jiangxi University of Science and Technology (CN)
Openalex Percentile: Top 12%
Blockchain Technology Applications and Security
1.56
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