Worm Classification
Worm Classification is a computational method within malware classification that specifically identifies and categorizes self-replicating, network-propagating malicious programs based on their behavioral and structural characteristics.
62
Publications
2.6K
Citations
175
Authors
77
Institutions
Publications per year
2017–2026
8
Parents
62
Nicholas Weaver, Vern Paxson, Stuart Staniford et al. · 2003 · 456 citations
A behavioral approach to worm detection
Daniel R. Ellis, John G. Aiken, Kira S. Attwood et al. · 2004 · 150 citations
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77
Ben-Gurion University of the Negev
Beersheba, Israel
4 h-index
18 publications
559 citations
Deutsche Telekom (United Kingdom)
Welwyn Garden City, United Kingdom
2 h-index
5 publications
265 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
2 h-index
2 publications
55 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
515 citations

University of London
London, United Kingdom
2 h-index
2 publications
55 citations

National University of Defense Technology
Changsha, China
1 h-index
1 publications
18 citations
Matsumoto Livestock Hygiene Service Center
Nagano, Japan
1 h-index
2 publications
90 citations
NortonLifeLock (United States)
Mountain View, United States
1 h-index
1 publications
157 citations
1–8 of 77
5 publications · 139 citations
5
h-index
3 publications · 78 citations
3
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2 publications · 22 citations
2
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2 publications · 44 citations
2
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2 publications · 55 citations
2
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