Image-based Malware Classification
Image-Based Malware Classification is a malware classification approach that transforms executable files into visual representations, such as grayscale or color images, to leverage computer vision techniques for detecting and categorizing malicious software based on spatial patterns inherent in the converted images.
114
Publications
8.8K
Citations
344
Authors
158
Institutions
Publications per year
2017–2026
103
Parents
114
Lakshmanan Nataraj, S. Karthikeyan, Grégoire Jacob et al. · 2011 · 1.2K citations
Malware Classification with Deep Convolutional Neural Networks
Mahmoud Kalash, Mrigank Rochan, Noman Mohammed et al. · 2018 · 403 citations
Image-Based malware classification using ensemble of CNN architectures (IMCEC)
Danish Vasan, Mamoun Alazab, Sobia Wassan et al. · Computers & Security · 2020 · 394 citations
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158

Sichuan University
Chengdu, China
5 h-index
15 publications
1.6K citations

Charles Darwin University
Darwin, Australia
5 h-index
5 publications
1.2K citations
Tsinghua University
Beijing, China
3 h-index
5 publications
2K citations
COMSATS University Islamabad
Islamabad, Pakistan
3 h-index
3 publications
318 citations

University of Dayton
Dayton, United States
3 h-index
11 publications
647 citations

Amrita Vishwa Vidyapeetham
Coimbatore, India
3 h-index
3 publications
337 citations

University of Molise
Campobasso, Italy
3 h-index
8 publications
154 citations
Institute of Informatics and Telematics
Pisa, Italy
3 h-index
8 publications
157 citations
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JISA · 8 publications · 537 citations
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7 publications · 1.1K citations
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8 publications · 216 citations
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Repository · 5 publications · 537 citations
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3 publications · 75 citations
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