An approach for vulnerability detection in web applications using graph neural networks and transformers

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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...

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Bibliographic Details
Main Authors:	Md Sultan, Abu Bakar, Zulzalil, Hazura, Osman, Mohd Hafeez, Tanko, Mohammed Yahaya
Format:	Article
Language:	English
Published:	Little Lion Scientific 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/119426/ http://psasir.upm.edu.my/id/eprint/119426/1/119426.pdf

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