A new approach to software vulnerability detection based on CPG analysis

AbstractDetecting source code vulnerabilities is an essential issue today. In this paper, to improve the efficiency of detecting vulnerabilities in software written in C/C++, we propose to use a combination of Deep Graph Convolutional Neural Network (DGCNN) and code property graph (CPG). Specificall...

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Bibliographic Details
Main Author: Cho Do Xuan
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Cogent Engineering
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2023.2221962