Dark Web Data Collection

Dark Web Data Collection is a methodological framework within dark web intelligence that systematically identifies, acquires, and preserves digital artifacts from dark web environments for analysis, distinguished by its focus on encrypted, anonymized, and access-controlled network substrates.

51

Publications

1.9K

Citations

163

Authors

70

Institutions

Publications per year

2017–2026

40

Authors

163

  1. HC
    Hsinchun Chen

    University of Arizona, United States

    4 publications · 310 citations

    4

    h-index

  2. WL
    Weifeng Li

    University of Arizona, United States

    4 publications · 100 citations

    4

    h-index

  3. ME
    Mohammadreza Ebrahimi

    University of Arizona, United States

    3 publications · 75 citations

    3

    h-index

  4. HC
    Hsinchun Chen

    University of Arizona, United States

    3 publications · 77 citations

    3

    h-index

  5. SH
    Sarah Heinrich

    The University of Adelaide, Australia

    2 publications · 101 citations

    2

    h-index

1–5 of 163

Venues

  1. 2

    h-index

  2. IEEE Access

    2 publications · 68 citations

    2

    h-index

  3. Information Systems Frontiers

    1 publications · 24 citations

    1

    h-index

  4. 1

    h-index

  5. Frontiers in Psychology

    1 publications · 31 citations

    1

    h-index

1–5