Cve Mining
CVE Mining is a systematic computational method within vulnerability intelligence that identifies, extracts, and analyzes Common Vulnerabilities and Exposures (CVEs) from diverse data sources to uncover patterns, relationships, or actionable insights regarding software security weaknesses.
12
Publications
658
Citations
44
Authors
17
Institutions
Publications per year
2017–2026
11
Parents
12
A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries
Jiahao Fan, Yi Li, Shaohua Wang et al. · 2020 · 423 citations
A Mining Approach to Obtain the Software Vulnerability Characteristics
Xiang Li, Jinfu Chen, Zhechao Lin et al. · 2017 · 40 citations
CVE-assisted large-scale security bug report dataset construction method
Xiaoxue Wu, Wei Zheng, Xiang Chen et al. · Journal of Systems and Software · 2019 · 38 citations
1–5 of 12
44
2
h-index
2
h-index
2
h-index
North Carolina Agricultural and Technical State University, United States
2 publications · 37 citations
2
h-index
1
h-index
1–5 of 44
17
North Carolina Agricultural and Technical State University
Greensboro, United States
2 h-index
5 publications
91 citations

Northwestern Polytechnical University
Xi'an, China
1 h-index
5 publications
190 citations

Direction Générale de l'Armement
Paris, France
1 h-index
1 publications
12 citations
Tianjin University
Tianjin, China
1 h-index
4 publications
76 citations
New Jersey Institute of Technology
Newark, United States
1 h-index
3 publications
1.3K citations
The University of Texas at Dallas
Richardson, United States
1 h-index
1 publications
423 citations
Jiangsu University
Zhenjiang, China
1 h-index
4 publications
160 citations

University of Cagliari
Cagliari, Italy
1 h-index
4 publications
88 citations
1–8 of 17
Repository · 1 publications · 15 citations
1
h-index
JSS · 1 publications · 38 citations
1
h-index
ITETBT · 1 publications · 26 citations
1
h-index
1 publications · 12 citations
1–4