Malicious App Classification
Malicious App Classification is a computational method that distinguishes potentially harmful mobile applications from benign ones by analyzing behavioral, structural, or syntactic features unique to malicious software.
129
Publications
7.6K
Citations
434
Authors
201
Institutions
Publications per year
2017–2026
98
Parents
129
Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein et al. · 2016 · 787 citations · Full text
UI Dark Patterns and Where to Find Them
Linda Di Geronimo, Larissa Braz, Enrico Fregnan et al. · 2020 · 246 citations · Full text
1–5 of 129
434
4
h-index
4
h-index
4
h-index
4
h-index
3
h-index
1–5 of 434
201

Beijing University of Posts and Telecommunications
Beijing, China
7 h-index
20 publications
560 citations

Peking University
Beijing, China
5 h-index
6 publications
237 citations
University of Luxembourg
Luxembourg, Luxembourg
3 h-index
14 publications
4K citations
Virginia Tech
Blacksburg, United States
3 h-index
10 publications
1.9K citations
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
11 publications
369 citations

University of Sannio
Benevento, Italy
3 h-index
6 publications
286 citations

University of Padua
Padua, Italy
3 h-index
6 publications
568 citations

Royal Holloway University of London
Egham, United Kingdom
3 h-index
9 publications
1.1K citations
1–8 of 201
7 publications · 651 citations
7
h-index
4 publications · 500 citations
4
h-index
FGCS · 4 publications · 342 citations
4
h-index
3 publications · 162 citations
3
h-index
3 publications · 86 citations
3
h-index
1–5