MultiGLICE: Combining Graph Neural Networks and Program Slicing for Multiclass Software Vulnerability Detection

MultiGLICE: Combining Graph Neural Networks and Program Slicing for Multiclass Software Vulnerability Detection

This paper presents MultiGLICE (Multi class Graph Neural Network with Program Slice), a model for static code analysis to detect security vulnerabilities. MultiGLICE extends our previous GLICE model with multiclass detection for a large number of vulnerabilities across multiple programming languages...

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Bibliographic Details
Main Authors: Wesley de Kraker, Harald Vranken, Arjen Hommersom
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Computers
Subjects:
code analysis
vulnerability detection
graph neural networks
program slicing
machine learning
Online Access:https://www.mdpi.com/2073-431X/14/3/98
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