Dark Web Content Classification

Dark Web Content Classification is a systematic analytical framework that categorizes content residing on the Dark Web according to its semantic, structural, or functional attributes, distinguishing it from general web content classification by addressing the unique anonymity, heterogeneity, and illicitness inherent to Dark Web data.

18

Publications

635

Citations

52

Authors

22

Institutions

Publications per year

2017–2026

14

Authors

52

  1. VY
    Vinod Yegneswaran

    SRI International, United States

    2 publications · 68 citations

    2

    h-index

  2. AD
    Ariyam Das

    University of California, Los Angeles, United States

    2 publications · 68 citations

    2

    h-index

  3. SG
    Shalini Ghosh

    University of Calcutta, India

    2 publications · 68 citations

    2

    h-index

  4. RR
    Romil Rawat

    Universidad de Extremadura, Spain

    1 publications · 28 citations

    1

    h-index

  5. MS
    Martijn Spitters

    Netherlands Organisation for Applied Scientific Research, Netherlands

    1 publications · 46 citations

    1

    h-index

1–5 of 52

Venues

  1. Annals of Tourism Research

    1 publications · 31 citations

    1

    h-index

  2. Neurocomputing

    1 publications · 59 citations

    1

    h-index

  3. National Conference on Artificial Intelligence

    Conference · 1 publications · 14 citations

    1

    h-index

  4. First Monday

    1 publications · 54 citations

    1

    h-index

  5. 1

    h-index

1–5