VulSAT: Source Code Vulnerability Detection Scheme Based on SAT Structure-Reference-Cited by-同舟云学术

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VulSAT: Source Code Vulnerability Detection Scheme Based on SAT Structure

Published:2023-07-08 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Signal and Image Processing (ICSIP)
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Author:

Xue Jintao¹,Yu Zihan¹,Song Yubo¹,Qin Zhongyuan¹,Sun Xin²,Wang Wen³

Affiliation:

1. Southeast University,School of Cyber Science and Engineering,Nanjing,China,211189

2. State Grid Zhejiang Electric Power Co., Ltd. Research Institute,Internet Technology Center,Hangzhou,China,310063

3. State Grid Zhejiang Electric Power Co., Ltd,Internet Department,Hangzhou,China,310063

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269795/10270814/10271020.pdf?arnumber=10271020

Reference20 articles.

1. Cross-Project Transfer Representation Learning for Vulnerable Function Discovery

2. Modeling and Discovering Vulnerabilities with Code Property Graphs

3. Modeling and Discovering Vulnerabilities with Code Property Graphs

4. How powerful are graph neural networks[J];xu;arXiv preprint arXiv 1810 06008,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A software vulnerability intelligent detection method based on code association graph;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

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