A novel vulnerability severity assessment method for source code based on a graph neural network-Reference-Cited by-同舟云学术

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A novel vulnerability severity assessment method for source code based on a graph neural network

Published:2023-09 Issue: Volume:161 Page:107247
ISSN:0950-5849
Container-title:Information and Software Technology
language:en
Short-container-title:Information and Software Technology

Author:

Hao Jingwei,Luo Senlin,Pan Limin

Funder

Ministry of Industry and Information Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference25 articles.

1. Associating the severity of vulnerabilities with their description;Toloudis,2016

2. Assessment of vulnerability severity using text mining;Spanos,2017

3. Automatically assessing vulnerabilities discovered by compositional analysis;Ognawala,2018

4. Devign: effective vulnerability identification by learning comprehensive program semantics via graph neural networks;Zhou;Adv. Neural Inf. Process. Syst.,2019

5. DeepWukong: statically detecting software vulnerabilities using deep graph neural network;Cheng;ACM Trans. Softw. Eng. Methodol. (TOSEM),2021

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1. A vulnerability severity prediction method based on bimodal data and multi-task learning;Journal of Systems and Software;2024-07

2. An advanced computing approach for software vulnerability detection;Multimedia Tools and Applications;2024-06-27

3. Key Vulnerable Nodes Discovery Based on Bayesian Attack Subgraphs and Improved Fuzzy C-Means Clustering;Mathematics;2024-05-08

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