An approach for vulnerability detection in web applications using graph neural networks and transformers
The increasing complexity of software systems and rising security concerns due to open-source package vulnerabilities have made software vulnerability detection a critical priority. Traditional vulnerability detection methods, including static, dynamic, and hybrid approaches, often struggle with hig...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Little Lion Scientific
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/119426/ http://psasir.upm.edu.my/id/eprint/119426/1/119426.pdf |