Data Sanitization

Data Sanitization is a systematic process within data anonymization that removes or obfuscates sensitive information from datasets to prevent unauthorized disclosure, distinguishing itself by ensuring data utility preservation while complying with privacy regulations.

129

Publications

7K

Citations

369

Authors

189

Institutions

Publications per year

2017–2026

59

Authors

369

  1. JC
    Jerry Chun‐Wei Lin

    Western Norway University of Applied Sciences, Norway

    10 publications · 406 citations

    11

    h-index

  2. DK
    Daniel Kifer

    Pennsylvania State University, United States

    5 publications · 500 citations

    5

    h-index

  3. DS
    David Sánchez

    Universitat Rovira i Virgili, Spain

    5 publications · 195 citations

    5

    h-index

  4. JM
    Jimmy Ming‐Tai Wu

    Shandong University of Science and Technology, China

    4 publications · 127 citations

    4

    h-index

  5. AV
    Alexandre Viejo

    Universitat Rovira i Virgili, Spain

    4 publications · 116 citations

    4

    h-index

1–5 of 369

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 189 citations

    5

    h-index

  2. IEEE Access

    4 publications · 158 citations

    4

    h-index

  3. Expert Systems with Applications

    3 publications · 68 citations

    3

    h-index

  4. 2

    h-index

  5. Future Generation Computer Systems

    FGCS · 2 publications · 117 citations

    2

    h-index

1–5