Data Provenance Analysis

Data Provenance Analysis is a forensic methodology within database forensics that identifies and traces the origin, custody, and transformation history of data to establish its authenticity, integrity, and lineage for investigative and evidentiary purposes.

43

Publications

2.4K

Citations

170

Authors

78

Institutions

Publications per year

2017–2026

15

Authors

170

  1. YX
    Yulai Xie

    Huazhong University of Science and Technology, China

    2 publications · 61 citations

    2

    h-index

  2. TM
    Thomas Moyer

    Pennsylvania State University, United States

    2 publications · 97 citations

    2

    h-index

  3. MW
    Marianne Winslett

    University of Illinois Urbana-Champaign, United States

    2 publications · 337 citations

    2

    h-index

  4. DF
    Dan Feng

    Huazhong University of Science and Technology, China

    2 publications · 61 citations

    2

    h-index

  5. RS
    Radu Sion

    Stony Brook University, United States

    2 publications · 337 citations

    2

    h-index

1–5 of 170

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 93 citations

    2

    h-index

  2. Future Generation Computer Systems

    FGCS · 2 publications · 63 citations

    2

    h-index

  3. Journal of Chinese Computer Systems

    1 publications · 12 citations

    1

    h-index

  4. Computer Graphics Forum

    1 publications · 53 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 18 citations

    1

    h-index

1–5