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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Vydané v:	Information and software technology Ročník 160; s. 107246
Hlavní autori:	Zheng, Zhangqi, Liu, Yongshan, Zhang, Bing, Liu, Xinqian, He, Hongyan, Gong, Xiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2023
Predmet:	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
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