Polymorphic Malware Classification
Polymorphic Malware Classification is a malware classification approach that distinguishes polymorphic malware from other malware types by identifying structural or behavioral patterns that persist despite encryption, obfuscation, or code mutation techniques designed to evade signature-based detection.
16
Publications
892
Citations
50
Authors
23
Institutions
Publications per year
2017–2026
7
Parents
16
Frequent Subgraph Based Familial Classification of Android Malware
1–5 of 16
50
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23

University of Tulsa
Tulsa, United States
2 h-index
2 publications
128 citations
Southern Methodist University
Dallas, United States
2 h-index
4 publications
256 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
3 publications
528 citations

Xi'an Jiaotong University
Xi'an, China
2 h-index
11 publications
1.4K citations
Ajman University
Ajman, United Arab Emirates
1 h-index
1 publications
20 citations
NortonLifeLock (United States)
Mountain View, United States
1 h-index
2 publications
118 citations

Universiti Tenaga Nasional
Kuala Selangor, Malaysia
1 h-index
2 publications
40 citations

Central Queensland University
Rockhampton, Australia
1 h-index
2 publications
88 citations
1–8 of 23
1 publications · 20 citations
1
h-index
Conference · 1 publications · 97 citations
1
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1 publications · 234 citations
1
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1 publications · 89 citations
1
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1 publications · 58 citations
1
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1–5