A multitype software buffer overflow vulnerability prediction method based on a software graph structure and a self-attentive graph neural network

•A method for predicting buffer overflow vulnerabilities in multiple types of software is proposed.•A software vulnerability feature set called GSVFset is proposed.•A vulnerability feature update mechanism based on self-attentive graph neural network is designed. Buffer overflow vulnerabilities are...

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Veröffentlicht in:	Information and software technology Jg. 160; S. 107246
Hauptverfasser:	Zheng, Zhangqi, Liu, Yongshan, Zhang, Bing, Liu, Xinqian, He, Hongyan, Gong, Xiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2023
Schlagworte:	Graph neural networks Multitype buffer overflow vulnerability Self-attentive Software graph structure Software graph structure Graph neural networks Multitype buffer overflow vulnerability Self-attentive
ISSN:	0950-5849, 1873-6025
Online-Zugang:	Volltext
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