VulMiningBGS: Detection of overflow vulnerabilities based on graph similarity-Reference-Cited by-同舟云学术

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VulMiningBGS: Detection of overflow vulnerabilities based on graph similarity

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 18th International Conference on Computational Intelligence and Security (CIS)
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Author:

Yu Zihan¹,Xue Jintao¹,Sun Xin²,Wang Wen³,Song Yubo¹,Chen Liquan¹,Qin Zhongyuan¹

Affiliation:

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

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10091210/10091169/10091381.pdf?arnumber=10091381

Reference15 articles.

1. Scalable Source Code Similarity Detection in Large Code Repositories

2. VulDetector: Detecting Vulnerabilities Using Weighted Feature Graph Comparison[J];cui;IEEE Transactions on Information Forensics and Security,2020

3. Scalable Graph-based Bug Search for Firmware Images

4. Identifying similar code with program dependence graphs

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 Deep Learning-based Approach for an Automated Vulnerability Detection in Source Code;2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT);2023-12-10

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