Cross-platform Malware Classification
Cross-Platform Malware Classification is a malware classification approach that enables the consistent identification and categorization of malicious software across disparate operating systems and execution environments by leveraging platform-agnostic features or unified analytical frameworks.
3
Publications
81
Citations
11
Authors
5
Institutions
Publications per year
2017–2026
3
Parents
3
Cross Platform IoT-Malware Family Classification Based on Printable Strings
Yen‐Ting Lee, Tao Ban, Tzu-Ling Wan et al. · 2020 · 40 citations
IoT-Malware Detection Based on Byte Sequences of Executable Files
Tzu-Ling Wan, Tao Ban, Yen‐Ting Lee et al. · 2020 · 12 citations
1–4 of 3
11
National Institute of Information and Communications Technology, Japan
2 publications · 52 citations
2
h-index
National Taiwan University of Science and Technology, Taiwan
2 publications · 52 citations
2
h-index
National Taiwan University of Science and Technology, Taiwan
2 publications · 52 citations
2
h-index
National Institute of Information and Communications Technology, Japan
2 publications · 52 citations
2
h-index
National Institute of Information and Communications Technology, Japan
2 publications · 52 citations
2
h-index
1–5 of 11
5

National Institute of Information and Communications Technology
Tokyo, Japan
2 h-index
8 publications
208 citations
National Taiwan University of Science and Technology
Taipei, Taiwan
2 h-index
6 publications
156 citations

Sichuan University
Chengdu, China
1 h-index
3 publications
87 citations
Research Center for Information Technology Innovation, Academia Sinica
Taipei, Taiwan
1 h-index
1 publications
40 citations
COMSATS University Islamabad
Islamabad, Pakistan
1 h-index
1 publications
29 citations

Yokohama National University
Yokohama, Japan
1 publications
10 citations

Institute for Information Industry
Taipei, Taiwan
1 publications
10 citations
1–7 of 5
TIIS · 1 publications · 29 citations
1
h-index
1 publications · 10 citations
1–2