Embedded Malware Detection
Embedded Malware Detection is a systematic method designed to identify malicious software within embedded systems by analyzing behavioral, structural, or runtime anomalies specific to resource-constrained and often real-time computing environments.
65
Publications
2.7K
Citations
189
Authors
79
Institutions
Publications per year
2017–2026
50
Parents
65
1–5 of 65
189
7
h-index
6
h-index
5
h-index
5
h-index
5
h-index
1–5 of 189
79
George Mason University
Fairfax, United States
9 h-index
25 publications
704 citations
Georgia Institute of Technology
Atlanta, United States
6 h-index
30 publications
1.7K citations
University of California, Davis
Davis, United States
6 h-index
14 publications
315 citations
University of Florida
Gainesville, United States
5 h-index
23 publications
976 citations

California State University, Long Beach
Long Beach, United States
5 h-index
9 publications
204 citations
Binghamton University
Binghamton, United States
3 h-index
7 publications
431 citations
UC Irvine Health
Orange, United States
2 h-index
6 publications
159 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
63 citations
1–8 of 79
4 publications · 209 citations
4
h-index
JISA · 2 publications · 46 citations
2
h-index
2 publications · 216 citations
2
h-index
TECS · 2 publications · 44 citations
2
h-index
1 publications · 41 citations
1
h-index
1–5