Vulnerability Mining
Vulnerability Mining is a systematic computational approach within software vulnerability discovery that involves the automated extraction, analysis, and identification of potential security flaws from source code, binaries, or system behaviors using data-driven or pattern-based techniques.
118
Publications
5.8K
Citations
396
Authors
154
Institutions
Publications per year
2017–2026
68
118
Modeling and Discovering Vulnerabilities with Code Property Graphs
Fabian Yamaguchi, Nico Golde, Daniel J. Arp et al. · 2014 · 732 citations
Predicting vulnerable software components
Stephan Neuhaus, Thomas Zimmermann, Christian Holler et al. · 2007 · 420 citations
Toward Large-Scale Vulnerability Discovery using Machine Learning
Gustavo Grieco, Guillermo L. Grinblat, Lucas C. Uzal et al. · 2016 · 238 citations
VulSeeker: a semantic learning based vulnerability seeker for cross-platform binary
1–5 of 118
396
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Cincinnati Children's Hospital Medical Center, United States
4 publications · 176 citations
4
h-index
4
h-index
1–5 of 396
154
Nanyang Technological University
Singapore, Singapore
6 h-index
16 publications
628 citations
Singapore Management University
Singapore, Singapore
6 h-index
13 publications
402 citations

Concordia University
Montreal, Canada
4 h-index
10 publications
570 citations
Southern Polytechnic State University
Marietta, United States
4 h-index
11 publications
439 citations
North Carolina State University
Raleigh, United States
3 h-index
8 publications
420 citations
Waseda University
Tokyo, Japan
3 h-index
16 publications
641 citations
University of Luxembourg
Luxembourg, Luxembourg
3 h-index
5 publications
274 citations

University of Trento
Trento, Italy
2 h-index
3 publications
228 citations
1–8 of 154
5 publications · 205 citations
5
h-index
JSS · 3 publications · 109 citations
3
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Repository · 3 publications · 40 citations
3
h-index
Conference · 2 publications · 103 citations
2
h-index
Repository · 2 publications · 117 citations
2
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1–5