Data Corruption Prevention

Data Corruption Prevention is a storage reliability mechanism that proactively detects, mitigates, and eliminates the causes of unintended data alteration during storage, transmission, or retrieval to ensure data integrity.

85

Publications

12.2K

Citations

247

Authors

103

Institutions

Publications per year

2017–2026

24

Authors

247

  1. SZ
    Steve Zdancewic

    University of Pennsylvania, United States

    4 publications · 258 citations

    4

    h-index

  2. PR
    Pedro Reviriego

    Universidad Nebrija, Spain

    4 publications · 89 citations

    4

    h-index

  3. MM
    Milo M. K. Martin

    University of Pennsylvania, United States

    4 publications · 258 citations

    4

    h-index

  4. CB
    Colin Blundell

    University of Pennsylvania, United States

    4 publications · 258 citations

    4

    h-index

  5. FC
    Franck Cappello

    Argonne National Laboratory, United States

    4 publications · 112 citations

    4

    h-index

1–5 of 247

Venues

  1. IEEE Transactions on Computers

    3 publications · 130 citations

    3

    h-index

  2. ACM SIGPLAN Notices

    3 publications · 88 citations

    3

    h-index

  3. Social Science Computer Review

    SSCR · 2 publications · 181 citations

    2

    h-index

  4. IEEE Access

    2 publications · 79 citations

    2

    h-index

  5. IEEE Transactions on Reliability

    2 publications · 65 citations

    2

    h-index

1–5