Graph-based Vulnerability Detection

Graph-Based Vulnerability Detection is a methodological framework within software vulnerability discovery that represents code structures and program behaviors as graphs to enable the systematic identification of security flaws through graph-theoretic analysis and pattern recognition.

98

Publications

5K

Citations

374

Authors

151

Institutions

Publications per year

2017–2026

76

Authors

374

  1. BL
    Bin Li

    Yangzhou University, China

    3 publications · 328 citations

    3

    h-index

  2. SC
    Sicong Cao

    Yangzhou University, China

    3 publications · 350 citations

    3

    h-index

  3. AM
    Alessandro Morari

    Universitat Politècnica de Catalunya, Spain

    3 publications · 94 citations

    3

    h-index

  4. LB
    Lili Bo

    Northwest Normal University, China

    3 publications · 350 citations

    3

    h-index

  5. JL
    Jim Laredo

    IBM (United States), United States

    3 publications · 94 citations

    3

    h-index

1–5 of 374

Venues

  1. Computers & Security

    5 publications · 144 citations

    5

    h-index

  2. Journal of Systems and Software

    JSS · 5 publications · 393 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 6 publications · 610 citations

    5

    h-index

  4. IEEE Transactions on Software Engineering

    TSE · 4 publications · 182 citations

    4

    h-index

  5. Information and Software Technology

    4 publications · 294 citations

    4

    h-index

1–5