An Improved Software Source Code Vulnerability Detection Method: Combination of Multi-Feature Screening and Integrated Sampling Model

An Improved Software Source Code Vulnerability Detection Method: Combination of Multi-Feature Screening and Integrated Sampling Model

Vulnerability detection in software source code is crucial in ensuring software security. Existing models face challenges with dataset class imbalance and long training times. To address these issues, this paper introduces a multi-feature screening and integrated sampling model (MFISM) to enhance vu...

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Bibliographic Details
Main Authors: Xin He, Asiya, Daoqi Han, Shuncheng Zhou, Xueliang Fu, Honghui Li
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
source code vulnerability detection
abstract syntax tree (AST)
multi-feature screening
integrated oversampling
Bi-LSTM
Online Access:https://www.mdpi.com/1424-8220/25/6/1816
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