Fuzzy Hashing

Fuzzy Hashing is a content-based hashing technique that belongs to the class of similarity-preserving algorithms, distinguished by its ability to generate analogous hash values for inputs with minor structural or textual differences, thereby enabling efficient detection of near-duplicate or polymorphic malware variants.

47

Publications

2.3K

Citations

146

Authors

77

Institutions

Publications per year

2017–2026

25

Variants

Context-triggered Piecewise HashingCtph

Authors

146

  1. PJ
    Paul Jenkins

    Ministry of Defence, United Kingdom

    10 publications · 246 citations

    10

    h-index

  2. NN
    Nitin Naik

    Ministry of Defence, United Kingdom

    10 publications · 246 citations

    10

    h-index

  3. NS
    Nick Savage

    University of Portsmouth, United Kingdom

    8 publications · 198 citations

    8

    h-index

  4. LY
    Longzhi Yang

    Northumbria University, United Kingdom

    7 publications · 171 citations

    7

    h-index

  5. TB
    Tossapon Boongoen

    Mae Fah Luang University, Thailand

    4 publications · 95 citations

    4

    h-index

1–5 of 146

Venues

  1. Digital Investigation

    3 publications · 174 citations

    3

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. IEEE Access

    2 publications · 55 citations

    2

    h-index

  5. ˜The œjournal of digital forensics, security and law

    JDFSL · 1 publications · 22 citations

    1

    h-index

1–5