Encrypted Data Analysis

Encrypted Data Analysis is a digital forensic methodology that involves the systematic examination and interpretation of data protected by cryptographic algorithms to ascertain its origin, integrity, and potential evidentiary value while preserving legal and technical compliance.

175

Publications

8K

Citations

606

Authors

276

Institutions

Publications per year

2017–2026

109

Authors

606

  1. SK
    Stefan Katzenbeisser

    Technische Universität Darmstadt, Germany

    3 publications · 59 citations

    3

    h-index

  2. MS
    Meng Shen

    Beijing Institute of Technology, China

    3 publications · 373 citations

    3

    h-index

  3. PG
    Peter G. Neumann

    SRI International, United States

    2 publications · 40 citations

    2

    h-index

  4. BS
    Bruce Schneier

    CounterPath (United States), United States

    2 publications · 40 citations

    2

    h-index

  5. IH
    Iqtadar Hussain

    Qatar University, Qatar

    2 publications · 45 citations

    2

    h-index

1–5 of 606

Venues

  1. IEEE Access

    5 publications · 319 citations

    5

    h-index

  2. IACR Cryptology ePrint Archive

    Repository · 4 publications · 94 citations

    4

    h-index

  3. Digital Investigation

    4 publications · 176 citations

    4

    h-index

  4. Security and Communication Networks

    3 publications · 47 citations

    3

    h-index

  5. 3

    h-index

1–5