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A memory-related vulnerability detection approach based on vulnerability model with Petri Net

  • Published:2023-04 Issue: Volume:132 Page:100859
  • ISSN:2352-2208
  • Container-title:Journal of Logical and Algebraic Methods in Programming
  • language:en
  • Short-container-title:Journal of Logical and Algebraic Methods in Programming

Author:

Chen Jinfu,Zhang Chi,Cai SaihuaORCID,Zhang Lin,Ma Liang

Publisher

Elsevier BV

Subject

Software,Theoretical Computer Science,Computational Theory and Mathematics,Logic

Reference34 articles.

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

2. A composed technical debt identification methodology to predict software vulnerabilities;Halepmollasi,2020

3. A memory-related vulnerability detection approach based on vulnerability features;Hu;Tsinghua Sci. Technol.,2019

4. An empirical comparison of commercial and open-source web vulnerability scanners;Amankwah;Softw. Pract. Exp.,2020

5. Modeling and discovering vulnerabilities with code property graphs;Yamaguchi,2014

Cited by 3 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 vulnerability severity prediction method based on bimodal data and multi-task learning;Journal of Systems and Software;2024-07

2. Research on the Physical Layer Vulnerability of Industrial Control Systems Based on Deterministic and Stochastic Petri Nets;International Conference on Algorithms, Software Engineering, and Network Security;2024-04-26

3. Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?;2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE);2023-10-09
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