Opcode Sequence Analysis
Opcode Sequence Analysis is a computational method in malware classification and attribution that identifies and examines the sequential patterns of low-level processor instructions, or opcodes, extracted from disassembled binary code to distinguish malicious from benign software behaviors and link malware variants to their sources.
52
Publications
3.5K
Citations
177
Authors
68
Institutions
Publications per year
2017–2026
33
52
Deep Android Malware Detection
Niall McLaughlin, Jesús Martínez del Rincón, BooJoong Kang et al. · 2017 · 495 citations · Full text
Effectiveness of Opcode ngrams for Detection of Multi Family Android Malware
Gerardo Canfora, Andrea De Lorenzo, Eric Medvet et al. · 2015 · 118 citations · Full text
1–5 of 52
177
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The University of Texas at San Antonio, United States
3 publications · 569 citations
3
h-index
2
h-index
2
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1–5 of 177
68

Shiraz University
Shiraz, Iran
4 h-index
7 publications
782 citations

Sichuan University
Chengdu, China
4 h-index
17 publications
541 citations
The University of Texas at San Antonio
San Antonio, United States
3 h-index
3 publications
569 citations

Universidad de Deusto
Bilbao, Spain
2 h-index
9 publications
2K citations

Harbin Institute of Technology
Harbin, China
2 h-index
3 publications
286 citations
University of Guelph
Guelph, Canada
2 h-index
2 publications
191 citations

University of Trieste
Trieste, Italy
2 h-index
3 publications
257 citations
Tsinghua University
Beijing, China
2 h-index
4 publications
213 citations
1–8 of 68
2 publications · 97 citations
2
h-index
2 publications · 66 citations
2
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2 publications · 541 citations
2
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2 publications · 141 citations
2
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1 publications · 90 citations
1
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1–5