Multi-label Malware Classification
Multi-Label Malware Classification is a malware classification paradigm that, as a singular academic concept, extends traditional single-label classification by allowing a given malware sample to be assigned multiple distinct class labels simultaneously, reflecting its membership in more than one malware category or family according to specific analytical criteria.
6
Publications
126
Citations
25
Authors
9
Institutions
Publications per year
2017–2026
6
Parents
6
A Large-scale Empirical Analysis of Ransomware Activities in Bitcoin
Kai Wang, Jun Pang, Ding-Jie Chen et al. · ACM Transactions on the Web · 2021 · 31 citations · Full text
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9
Fudan University
Shanghai, China
1 h-index
6 publications
186 citations

Institute for Information Industry
Taipei, Taiwan
1 h-index
2 publications
30 citations
Guangzhou University
Guangzhou, China
1 h-index
4 publications
136 citations
University of Luxembourg
Luxembourg, Luxembourg
1 h-index
1 publications
31 citations
Tianjin University
Tianjin, China
1 h-index
4 publications
48 citations

Universidad de Granada
Granada, Spain
1 h-index
3 publications
51 citations
Taif University
Ta'if, Saudi Arabia
1 h-index
1 publications
34 citations

National Taiwan University
Taipei, Taiwan
1 h-index
5 publications
75 citations
1–8 of 9
Repository · 1 publications · 17 citations
1
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1 publications · 34 citations
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1 publications · 17 citations
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1 publications · 15 citations
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TWEB · 1 publications · 31 citations
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1–5