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

Authors

396

  1. DL
    David Lo

    Singapore Management University, Singapore

    5 publications · 195 citations

    5

    h-index

  2. HB
    Hee Beng Kuan Tan

    Nanyang Technological University, Singapore

    4 publications · 239 citations

    4

    h-index

  3. LK
    Lwin Khin Shar

    Nanyang Technological University, Singapore

    4 publications · 239 citations

    4

    h-index

  4. MG
    Minzhe Guo

    Cincinnati Children's Hospital Medical Center, United States

    4 publications · 176 citations

    4

    h-index

  5. JA
    Ju An Wang

    Southern Polytechnic State University, United States

    4 publications · 176 citations

    4

    h-index

1–5 of 396

Venues

  1. IEEE Access

    5 publications · 205 citations

    5

    h-index

  2. Journal of Systems and Software

    JSS · 3 publications · 109 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 40 citations

    3

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5