Obfuscation Detection
Obfuscation Detection is a computational method in the field of authorship attribution that identifies intentional alterations in source code or textual artifacts designed to conceal linguistic or stylistic features indicative of authorship.
58
Publications
4.1K
Citations
202
Authors
82
Institutions
Publications per year
2017–2026
34
58
Limits of Static Analysis for Malware Detection
A. Moser, Christopher Kruegel, Engin Kirda · 2007 · 801 citations
Mihai Christodorescu, Somesh Jha · 2004 · 275 citations
Detecting Fake Websites: The Contribution of Statistical Learning Theory1
Zhang, David Zimbra, Chen et al. · MIS Quarterly · 2010 · 211 citations
1–5 of 58
202
University of California, Santa Barbara, United States
3 publications · 1K citations
3
h-index
3
h-index
3
h-index
3
h-index
ZHAW Zurich University of Applied Sciences, Switzerland
2 publications · 26 citations
2
h-index
1–5 of 202
82
University of Wisconsin–Madison
Madison, United States
2 h-index
4 publications
724 citations
HTW Berlin - University of Applied Sciences
Berlin, Germany
2 h-index
2 publications
450 citations

Riga Technical University
Riga, Latvia
2 h-index
2 publications
450 citations
North Carolina Agricultural and Technical State University
Greensboro, United States
2 h-index
9 publications
108 citations
University of Washington
Seattle, United States
2 h-index
3 publications
317 citations

Masaryk University
Brno, Czechia
2 h-index
4 publications
900 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
138 citations

University of Monterrey
Garza García, Mexico
2 h-index
2 publications
450 citations
1–8 of 82
3 publications · 87 citations
3
h-index
Repository · 2 publications · 49 citations
2
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JISA · 2 publications · 37 citations
2
h-index
Repository · 2 publications · 26 citations
2
h-index
1 publications · 19 citations
1
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1–5