Vulnerability Forecasting

Vulnerability Forecasting is a predictive analytical method that estimates the future emergence and characteristics of software vulnerabilities by analyzing historical vulnerability data, temporal patterns, and contextual factors within the cybersecurity domain.

35

Publications

1.5K

Citations

100

Authors

52

Institutions

Publications per year

2017–2026

19

Authors

100

  1. WJ
    Wouter Joosen

    KU Leuven, Belgium

    2 publications · 350 citations

    2

    h-index

  2. MA
    Mamoun Alazab

    Charles Darwin University, Australia

    2 publications · 29 citations

    2

    h-index

  3. RS
    Riccardo Scandariato

    KU Leuven, Belgium

    2 publications · 350 citations

    2

    h-index

  4. AH
    Aram Hovsepyan

    KU Leuven, Belgium

    2 publications · 350 citations

    2

    h-index

  5. MT
    MingJian Tang

    Huawei Technologies (China), China

    2 publications · 29 citations

    2

    h-index

1–5 of 100

Venues

  1. Computers & Security

    5 publications · 197 citations

    5

    h-index

  2. Economic Modelling

    1 publications · 14 citations

    1

    h-index

  3. Multimodal Technologies and Interaction

    1 publications · 15 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Information Security

    JIS · 1 publications · 22 citations

    1

    h-index

1–5