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
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2.3K
Citations
146
Authors
77
Institutions
Publications per year
2017–2026
25
Variants
Context-triggered Piecewise HashingCtph
Parents
47
Deep Fuzzy Hashing Network for Efficient Image Retrieval
Huimin Lu, Ming Zhang, Xing Xu et al. · IEEE Transactions on Fuzzy Systems · 2020 · 341 citations
Parvez Faruki, Vijay Ganmoor, Vijay Laxmi et al. · 2013 · 134 citations
An evaluation of forensic similarity hashes
Vassil Roussev · Digital Investigation · 2011 · 126 citations · Full text
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University of Portsmouth
Portsmouth, United Kingdom
10 h-index
17 publications
388 citations
Northumbria University
Newcastle upon Tyne, United Kingdom
7 h-index
7 publications
171 citations

Aston University
Birmingham, United Kingdom
4 h-index
4 publications
107 citations

Northeastern University
Shenyang, China
4 h-index
4 publications
88 citations

University of Waterloo
Waterloo, Canada
4 h-index
4 publications
88 citations

Mae Fah Luang University
Chiang Rai, Thailand
4 h-index
8 publications
190 citations

Ministry of Defence
London, United Kingdom
4 h-index
8 publications
230 citations

Xidian University
Xi'an, China
3 h-index
8 publications
373 citations
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3 publications · 174 citations
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2 publications · 40 citations
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2 publications · 645 citations
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2 publications · 55 citations
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JDFSL · 1 publications · 22 citations
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