Vulnerability Prediction From Source Code Using Machine Learning

Vulnerability Prediction From Source Code Using Machine Learning

As the role of information and communication technologies gradually increases in our lives, software security becomes a major issue to provide protection against malicious attempts and to avoid ending up with noncompensable damages to the system. With the advent of data-driven techniques, there is n...

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Bibliographic Details
Main Authors: Zeki Bilgin, Mehmet Akif Ersoy, Elif Ustundag Soykan, Emrah Tomur, Pinar Comak, Leyli Karacay
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
AST
machine learning
source code
vulnerability prediction
Online Access:https://ieeexplore.ieee.org/document/9167194/

Internet

https://ieeexplore.ieee.org/document/9167194/

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