Linddun

LINDDUN is a privacy-focused threat modeling framework that systematically identifies and analyzes privacy threats in software systems by applying seven distinct categories of threats—Linkability, Identifiability, Non-repudiation, Detectability, Disclosure of information, Unawareness, and Non-compliance.

14

Publications

505

Citations

23

Authors

12

Institutions

Publications per year

2017–2026

11

Authors

23

  1. WJ
    Wouter Joosen

    KU Leuven, Belgium

    6 publications · 262 citations

    7

    h-index

  2. KW
    Kim Wuyts

    KU Leuven, Belgium

    5 publications · 218 citations

    6

    h-index

  3. LS
    Laurens Sion

    KU Leuven, Belgium

    4 publications · 189 citations

    5

    h-index

  4. DV
    Dimitri Van Landuyt

    KU Leuven, Belgium

    4 publications · 148 citations

    5

    h-index

  5. KY
    Koen Yskout

    KU Leuven, Belgium

    2 publications · 92 citations

    2

    h-index

1–5 of 23

Venues

  1. Computers & Security

    1 publications · 22 citations

    2

    h-index

  2. Lirias (KU Leuven)

    Repository · 1 publications · 43 citations

    1

    h-index

  3. Proceedings on Privacy Enhancing Technologies

    PoPETs · 1 publications · 15 citations

    1

    h-index

  4. Empirical Software Engineering

    1 publications · 88 citations

    1

    h-index

  5. Procedia Computer Science

    1 publications · 20 citations

    1

    h-index

1–5