Dynamic Malware Classification
Dynamic Malware Classification is a malware classification approach that analyzes the runtime behavior of executable code in controlled execution environments to distinguish malicious software based on observed dynamic characteristics rather than static structural features.
62
Publications
3.4K
Citations
209
Authors
75
Institutions
Publications per year
2017–2026
40
Variants
Behavioral Malware Classification
Parents
62
1–5 of 62
209
3
h-index
2
h-index
2
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h-index
National University of Computer and Emerging Sciences, Pakistan
2 publications · 92 citations
2
h-index
1–5 of 209
75

Hanyang University
Seoul, South Korea
3 h-index
8 publications
310 citations
Virginia Tech
Blacksburg, United States
2 h-index
6 publications
1.4K citations
University of Delaware
Newark, United States
2 h-index
6 publications
186 citations

Guizhou University
Guiyang, China
2 h-index
9 publications
539 citations
Queen's University Belfast
Belfast, United Kingdom
2 h-index
6 publications
150 citations

Washington State University
Pullman, United States
2 h-index
3 publications
387 citations
National University of Computer and Emerging Sciences
Islamabad, Pakistan
2 h-index
6 publications
276 citations

University of Plymouth
Plymouth, United Kingdom
2 h-index
8 publications
104 citations
1–8 of 75
5 publications · 348 citations
5
h-index
Repository · 5 publications · 359 citations
5
h-index
2 publications · 87 citations
2
h-index
2 publications · 131 citations
2
h-index
JISA · 2 publications · 131 citations
2
h-index
1–5