Sensitive Data Protection

Sensitive Data Protection is a data governance framework designed to safeguard personally identifiable, confidential, or legally protected information by implementing technical, legal, and organizational measures that mitigate risks of unauthorized access, disclosure, or misuse, particularly in contexts involving privacy, human subjects, or regulated domains.

870

Publications

41.9K

Citations

2.3K

Authors

862

Institutions

Publications per year

2017–2026

389

Authors

2.3K

  1. JC
    Jerry Chun‐Wei Lin

    Western Norway University of Applied Sciences, Norway

    15 publications · 613 citations

    13

    h-index

  2. AK
    Ashutosh Kumar Singh

    National Institute of Technology Kurukshetra, India

    8 publications · 326 citations

    8

    h-index

  3. DS
    David Sánchez

    Universitat Rovira i Virgili, Spain

    8 publications · 242 citations

    8

    h-index

  4. SJ
    Sushil Jajodia

    George Mason University, United States

    8 publications · 744 citations

    8

    h-index

  5. IG
    Ishu Gupta

    National Institute of Technology Kurukshetra, India

    8 publications · 326 citations

    8

    h-index

1–5 of 2.3K

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 702 citations

    16

    h-index

  2. IEEE Access

    18 publications · 1.7K citations

    14

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 11 publications · 1.3K citations

    10

    h-index

  4. SSRN Electronic Journal

    Repository · 9 publications · 250 citations

    9

    h-index

  5. Computers & Security

    8 publications · 345 citations

    8

    h-index

1–5