Anonymization Risk Analysis

Anonymization Risk Analysis is a methodological framework within privacy threat modeling that systematically evaluates the potential for re-identification and privacy breaches in anonymized datasets by assessing the effectiveness of anonymization techniques against known inference attacks and auxiliary information sources.

46

Publications

2.7K

Citations

132

Authors

71

Institutions

Publications per year

2017–2026

14

Authors

132

  1. UB
    Uwe Blien

    Institut für Arbeitsmarkt und Berufsforschung, Germany

    2 publications · 44 citations

    2

    h-index

  2. JD
    Josep Domingo‐Ferrer

    Universitat Rovira i Virgili, Spain

    2 publications · 51 citations

    2

    h-index

  3. CC
    Chris Clifton

    Purdue University West Lafayette, United States

    2 publications · 342 citations

    2

    h-index

  4. ME
    Mark Elliot

    University of Manchester, United Kingdom

    2 publications · 51 citations

    2

    h-index

  5. XX
    Xiaokui Xiao

    Nanyang Technological University, Singapore

    2 publications · 72 citations

    2

    h-index

1–5 of 132

Venues

  1. 2

    h-index

  2. 2015 IEEE Trustcom/BigDataSE/ISPA

    Conference · 2 publications · 22 citations

    2

    h-index

  3. Network and Distributed System Security Symposium

    Conference · 1 publications · 135 citations

    1

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 1 publications · 93 citations

    1

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 1 publications · 25 citations

    1

    h-index

1–5