Privacy Constraint Modeling

Privacy Constraint Modeling is a formal method in Privacy Requirements Engineering that specifies permissible states or behaviors within a system by defining boundaries on data collection, processing, and disclosure to ensure compliance with privacy policies and regulations.

14

Publications

857

Citations

34

Authors

19

Institutions

Publications per year

2017–2026

4

Authors

34

  1. AS
    Armando Solar-Lezama

    Massachusetts Institute of Technology, United States

    2 publications · 202 citations

    2

    h-index

  2. KY
    Kuat Yessenov

    Massachusetts Institute of Technology, United States

    2 publications · 202 citations

    2

    h-index

  3. LL
    Lifeng Lai

    Princeton University, United States

    1 publications · 19 citations

    1

    h-index

  4. WL
    Wadha Labda

    Qatar University, Qatar

    1 publications · 50 citations

    1

    h-index

  5. BR
    Bhiksha Raj

    Carnegie Mellon University, United States

    1 publications · 88 citations

    1

    h-index

1–5 of 34

Venues

  1. IEEE Transactions on Information Theory

    2 publications · 83 citations

    2

    h-index

  2. Requirements Engineering

    2 publications · 300 citations

    2

    h-index

  3. 1

    h-index

  4. User Modeling and User-Adapted Interaction

    1 publications · 14 citations

    1

    h-index

  5. Computers & Security

    1 publications · 20 citations

    1

    h-index

1–5