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A Novel Machine Learning-Based Model for Reentrant Vulnerabilities Detection by Hui Zhao; Peng Su; Meikang Qiu is a book available to read on EtoBox.

What is A Novel Machine Learning-Based Model for Reentrant Vulnerabilities Detection about?

Machine learning-based models are one of the main methods for detecting reentrant vulnerabilities. However, these models extract smart contract features only from a single form, resulting in incompleteness and inaccuracy of features. To address this problem, we propose a novel machine learning-based model for reentrant vulnerabilities detection. We extract and fuse features from abstract syntax trees, opcodes, control flow graph basic blocks, and combine machine learning algorithms for reentrant vulnerabilities detection. Additionally, to address the timeconsuming problem of manual labeling, we also propose an approach for automatically adding dataset labels. We perform experiments on Smartbugs and SolidiFi-benchmark datasets and results show that our model outperforms existing models.

Author

Hui Zhao; Peng Su; Meikang Qiu

Publisher

Springer International Publishing AG

Published

2023

Language

EN

ISBN

9783031281235

Subjects

Computer Science, Technology, Engineering