Malware Similarity Analysis
Malware Similarity Analysis is a computational method in cybersecurity research that, within the genus of malware analysis techniques, distinguishes itself by quantifying structural, behavioral, or semantic correspondences between binary samples to determine their familial or functional relatedness.
92
Publications
4K
Citations
285
Authors
114
Institutions
Publications per year
2017–2026
36
92
Large-scale malware indexing using function-call graphs
Xin Hu, Tzi‐cker Chiueh, Kang G. Shin · 2009 · 316 citations
Jiyong Jang, David Brumley, Shobha Venkataraman · 2011 · 251 citations
Shifu Hou, Yanfang Ye, Yangqiu Song et al. · 2017 · 246 citations
The Cousins of Stuxnet: Duqu, Flame, and Gauss
Boldizsár Bencsáth, Gábor Pék, Levente Buttyán et al. · Future Internet · 2012 · 190 citations · Full text
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New Mexico Institute of Mining and Technology, United States
3 publications · 68 citations
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1–5 of 285
114

Hanyang University
Seoul, South Korea
3 h-index
10 publications
418 citations
United States Air Force Academy
Colorado Springs, United States
3 h-index
6 publications
149 citations
Korea University
Seoul, South Korea
3 h-index
9 publications
420 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
65 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
2 publications
270 citations
University of Portsmouth
Portsmouth, United Kingdom
2 h-index
3 publications
63 citations
Institute of Information Engineering
Beijing, China
2 h-index
7 publications
97 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
673 citations
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2 publications · 119 citations
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Repository · 2 publications · 43 citations
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FGCS · 2 publications · 72 citations
2
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TDSC · 2 publications · 182 citations
2
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2 publications · 31 citations
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