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

Authors

44

  1. MV
    Mounika Vanamala

    University of Wisconsin–Eau Claire, United States

    2 publications · 37 citations

    2

    h-index

  2. HG
    Hao Guo

    Tianjin University, China

    2 publications · 34 citations

    2

    h-index

  3. ZX
    Zhenchang Xing

    Australian National University, Australia

    2 publications · 34 citations

    2

    h-index

  4. XY
    Xiaohong Yuan

    North Carolina Agricultural and Technical State University, United States

    2 publications · 37 citations

    2

    h-index

  5. KP
    K. P. Chow

    University of Hong Kong, Hong Kong SAR China

    1 publications · 14 citations

    1

    h-index

1–5 of 44

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 15 citations

    1

    h-index

  2. Journal of Systems and Software

    JSS · 1 publications · 38 citations

    1

    h-index

  3. IEEE Transactions on Emerging Topics in Computing

    ITETBT · 1 publications · 26 citations

    1

    h-index

  4. IEEE Access

    1 publications · 12 citations

1–4