Pattern-based Vulnerability Detection

Pattern-Based Vulnerability Detection is a methodological approach within software vulnerability discovery that identifies security weaknesses by systematically matching code structures or behaviors against predefined patterns indicative of known vulnerabilities.

28

Publications

649

Citations

78

Authors

43

Institutions

Publications per year

2017–2026

15

Authors

78

  1. KZ
    Kazi Zakia Sultana

    Montclair State University, United States

    3 publications · 51 citations

    3

    h-index

  2. PP
    Pierre Parrend

    Université de Strasbourg, France

    2 publications · 35 citations

    2

    h-index

  3. SF
    Stéphane Frénot

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 35 citations

    2

    h-index

  4. BJ
    Byron J. Williams

    Mississippi State University, United States

    2 publications · 32 citations

    2

    h-index

  5. FY
    Fabian Yamaguchi

    University of Göttingen, Germany

    2 publications · 25 citations

    2

    h-index

1–5 of 78

Venues

  1. it - Information Technology

    1 publications · 13 citations

    1

    h-index

  2. Computers & Security

    1 publications · 16 citations

    1

    h-index

  3. Decision Support Systems

    1 publications · 82 citations

    1

    h-index

  4. Software Practice and Experience

    1 publications · 19 citations

    1

    h-index

  5. Int. J. Netw. Secur.

    1 publications · 14 citations

    1

    h-index

1–5