Research on vulnerability optimization strategies in smart contracts based on Smartcheck

This study addresses the critical need for enhanced security in blockchain-based smart contracts, which are vulnerable to various exploits. Building on the existing Smartcheck tool, we conduct a comprehensive analysis of common vulnerabilities, including integer overflow, delegatecall, and timestamp dependence, and propose methodological improvements. We developed SmartETH, an advanced static analysis tool, incorporating improved detection algorithms to effectively identify and mitigate these security risks. Utilizing a dataset of 3,000 verified contracts from Etherscan, SmartETH was evaluated against the original Smartcheck and other tools such as Oyente and Slither. The results demonstrate that SmartETH significantly reduces both false positives and false negatives, achieving higher accuracy and reliability in vulnerability detection. Consequently, SmartETH provides a robust solution for securing smart contracts, thereby enhancing trust and safety in blockchain applications.

Authors

Institutions

Publication Details

Published
2025-04-28
DOI
https://doi.org/10.1117/12.3067935
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on vulnerability optimization strategies in smart contracts based on Smartcheck

Chiyu Wang
FinTech, Crowdfunding, Digital Finance
article

Research on vulnerability optimization strategies in smart contracts based on Smartcheck

Chiyu Wang
article en

Abstract

This study addresses the critical need for enhanced security in blockchain-based smart contracts, which are vulnerable to various exploits. Building on the existing Smartcheck tool, we conduct a comprehensive analysis of common vulnerabilities, including integer overflow, delegatecall, and timestamp dependence, and propose methodological improvements. We developed SmartETH, an advanced static analysis tool, incorporating improved detection algorithms to effectively identify and mitigate these security risks. Utilizing a dataset of 3,000 verified contracts from Etherscan, SmartETH was evaluated against the original Smartcheck and other tools such as Oyente and Slither. The results demonstrate that SmartETH significantly reduces both false positives and false negatives, achieving higher accuracy and reliability in vulnerability detection. Consequently, SmartETH provides a robust solution for securing smart contracts, thereby enhancing trust and safety in blockchain applications.

Jilin University of Finance and Economics (CN)
Openalex Percentile: Top 86%
FinTech, Crowdfunding, Digital Finance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.