Software Vulnerability Detection Using Informed Code Graph Pruning

Software Vulnerability Detection Using Informed Code Graph Pruning

pruning methods that can be used to reduce graph size to manageable levels by removing information irrelevant to vulnerabilities, while preserving relevant information. We present “Semantic-enhanced Code Embedding for Vulnerability Detection” (SCEVD), a deep learning model for...

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Bibliographic Details
Main Authors: Joseph Gear, Yue Xu, Ernest Foo, Praveen Gauravaram, Zahra Jadidi, Leonie Simpson
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Code representation
deep learning
source code semantics
vulnerability detection
Online Access:https://ieeexplore.ieee.org/document/10339268/

Internet

https://ieeexplore.ieee.org/document/10339268/

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