Malicious App Detection
Malicious App Detection is a systematic computational approach that distinguishes harmful mobile applications from benign ones by analyzing behavioral, structural, or semantic attributes indicative of security threats.
1.3K
Publications
87.7K
Citations
3.4K
Authors
950
Institutions
Publications per year
2017–2026
767
1.3K
Drebin: Effective and Explainable Detection of Android Malware in Your Pocket
Daniel J. Arp, Michael Spreitzenbarth, Hugo Gascón et al. · 2014 · 2.3K citations
Dissecting Android Malware: Characterization and Evolution
Yajin Zhou, Xuxian Jiang · 2012 · 2.1K citations
Steven Arzt, Siegfried Rasthofer, Christian Fritz et al. · 2014 · 1.4K citations
William Enck, Peter Gilbert, Seungyeop Han et al. · ACM Transactions on Computer Systems · 2014 · 1.2K citations · Full text
Adrienne Porter Felt, Elizabeth Ha, Serge Egelman et al. · 2012 · 973 citations
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950
University of Luxembourg
Luxembourg, Luxembourg
26 h-index
129 publications
17.8K citations

Pennsylvania State University
State College, United States
23 h-index
76 publications
16.8K citations

Beijing University of Posts and Telecommunications
Beijing, China
20 h-index
88 publications
2.8K citations
Nanyang Technological University
Singapore, Singapore
20 h-index
75 publications
4.5K citations

Monash University
Melbourne, Australia
20 h-index
33 publications
1.3K citations
Tsinghua University
Beijing, China
19 h-index
72 publications
4.7K citations

Chinese Academy of Sciences
Beijing, China
18 h-index
48 publications
3.3K citations
North Carolina State University
Raleigh, United States
18 h-index
45 publications
16.6K citations
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40 publications · 3K citations
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31 publications · 2.2K citations
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21 publications · 2.4K citations
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Repository · 36 publications · 1.5K citations
19
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21 publications · 439 citations
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