Malware Clustering
Malware Clustering is a computational analysis method that partitions malware samples into groups based on shared characteristics or behavioral patterns, enabling the identification of related threats and facilitating large-scale malware intelligence.
114
Publications
6.4K
Citations
367
Authors
155
Institutions
Publications per year
2017–2026
42
114
DroidMat: Android Malware Detection through Manifest and API Calls Tracing
Dong-Jie Wu, Ching-Hao Mao, Te-En Wei et al. · 2012 · 629 citations
Scalable, behavior-based malware clustering
Ulrich Bayer · 2009 · 571 citations
Jiyong Jang, David Brumley, Shobha Venkataraman · 2011 · 251 citations
1–5 of 114
367
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155
Georgia Institute of Technology
Atlanta, United States
3 h-index
8 publications
4.1K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
11 publications
896 citations
San Jose State University
San Jose, United States
3 h-index
8 publications
382 citations

University of Georgia
Athens, United States
3 h-index
4 publications
198 citations

University of Cagliari
Cagliari, Italy
3 h-index
11 publications
1.3K citations
National Information Society Agency
Seoul, South Korea
3 h-index
5 publications
155 citations

Sapienza University of Rome
Rome, Italy
2 h-index
9 publications
245 citations
Center of Technology and Engineering for Nuclear Projects
Bucharest, Romania
2 h-index
5 publications
97 citations
1–8 of 155
9 publications · 309 citations
9
h-index
7 publications · 198 citations
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2 publications · 56 citations
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2 publications · 197 citations
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2 publications · 93 citations
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