Profiling Risks

Profiling Risks is a privacy threat modeling construct that identifies and evaluates the potential for unauthorized inference, categorization, or prediction of individual attributes, behaviors, or preferences through the aggregation and analysis of personal data, distinguishing it from broader privacy threats by its focus on automated or algorithmic profiling activities that compromise autonomy, identifiability, or contextual integrity.

6

Publications

141

Citations

15

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

15

  1. AK
    Austin Kocher

    The Ohio State University, United States

    1 publications · 39 citations

    1

    h-index

  2. RH
    Renate Haeuslschmid

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 31 citations

    1

    h-index

  3. FP
    Francesco Pistolesi

    University of Pisa, Italy

    1 publications · 14 citations

    1

    h-index

  4. SF
    Steven Furnell

    University of Plymouth, United Kingdom

    1 publications · 16 citations

    1

    h-index

  5. AB
    Andreas Butz

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 31 citations

    1

    h-index

1–5 of 15

Venues

  1. American Behavioral Scientist

    ABS · 1 publications · 39 citations

    1

    h-index

  2. 1

    h-index

  3. Expert Systems with Applications

    1 publications · 14 citations

    1

    h-index

  4. Journal of Research in Personality

    1 publications · 28 citations

    1

    h-index

  5. Journal in Computer Virology

    1 publications · 16 citations

    1

    h-index

1–5