Data Integrity Preservation

Data Integrity Preservation is a data archiving methodology that ensures the accuracy, consistency, and authenticity of stored data over time by preventing unauthorized alteration, corruption, or degradation through systematic verification, access controls, and error-detection mechanisms.

82

Publications

5.1K

Citations

276

Authors

134

Institutions

Publications per year

2017–2026

33

Authors

276

  1. MG
    Mark Gerstein

    Yale University, United States

    3 publications · 96 citations

    3

    h-index

  2. RT
    Roberto Tamassia

    Brown University, United States

    2 publications · 1.3K citations

    2

    h-index

  3. AM
    Azees Maria

    M. Kumarasamy College of Engineering

    2 publications · 47 citations

    2

    h-index

  4. CP
    Charalampos Papamanthou

    University of Maryland, College Park, United States

    2 publications · 1.3K citations

    2

    h-index

  5. RS
    Radu Sion

    Stony Brook University, United States

    2 publications · 45 citations

    2

    h-index

1–5 of 276

Venues

  1. IEEE Access

    3 publications · 82 citations

    3

    h-index

  2. Sensors

    2 publications · 218 citations

    2

    h-index

  3. Computers & Security

    2 publications · 140 citations

    2

    h-index

  4. Information and Computation

    2 publications · 369 citations

    2

    h-index

  5. 2

    h-index

1–5