Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning

Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning

In cybersecurity, identifying and addressing vulnerabilities in source code is essential for maintaining secure IT environments. Traditional static and dynamic analysis techniques, although widely used, often exhibit high false-positive rates, elevated costs, and limited interpretability. Machine Le...

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Bibliographic Details
Main Authors: Pablo Corona-Fraga, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Future Internet
Subjects:
question–answer methodology
vulnerable source code review
prototype-based learning
model-agnostic meta-learning
Proto-MAML
code vulnerability detection
Online Access:https://www.mdpi.com/1999-5903/17/1/33
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