Data Flow Mapping

Data Flow Mapping is a systematic method used in privacy auditing to visually represent and analyze the collection, transfer, processing, and storage of personal data across organizational systems, thereby identifying potential privacy risks and ensuring compliance with data protection regulations.

148

Publications

5.8K

Citations

510

Authors

205

Institutions

Publications per year

2017–2026

45

Authors

510

  1. JL
    Jongeun Lee

    Ulsan National Institute of Science and Technology, South Korea

    3 publications · 49 citations

    3

    h-index

  2. FL
    Freddy Lécué

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 44 citations

    2

    h-index

  3. MK
    Miryung Kim

    University of California, Los Angeles, United States

    2 publications · 73 citations

    2

    h-index

  4. DC
    Duckhyun Chang

    Samsung (South Korea), South Korea

    2 publications · 296 citations

    2

    h-index

  5. MK
    Maciej Kiedrowicz

    Military University of Technology in Warsaw, Poland

    2 publications · 29 citations

    2

    h-index

1–5 of 510

Venues

  1. IEEE Access

    3 publications · 245 citations

    3

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Services Computing

    2 publications · 141 citations

    2

    h-index

  4. 2

    h-index

  5. Science Technology & Human Values

    2 publications · 53 citations

    2

    h-index

1–5