Container Malware Detection
Container Malware Detection is a specialized method in container security testing that identifies malicious software within containerized environments by analyzing container images, runtime behaviors, and filesystem artifacts to distinguish malware from legitimate processes based on signature, heuristic, or anomaly-based indicators.
3
Publications
128
Citations
13
Authors
4
Institutions
Publications per year
2017–2026
3
Parents
3
1–5 of 3
13
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 13
4
IBM (United States)
Armonk, United States
1 h-index
5 publications
510 citations

Southeast University
Nanjing, China
1 h-index
1 publications
14 citations
Khalifa University of Science and Technology
Abu Dhabi, United Arab Emirates
1 h-index
5 publications
510 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
5 publications
70 citations
Stony Brook University
Stony Brook, United States
1 publications
12 citations
China Academy of Engineering Physics
Mianyang, China
1 publications
12 citations

University of Windsor
Windsor, Canada
1 publications
12 citations

Sichuan University
Chengdu, China
1 publications
12 citations
1–8 of 4
TPDS · 1 publications · 102 citations
1
h-index
JISA · 1 publications · 14 citations
1
h-index
1 publications · 12 citations
1 publications · 12 citations
1 publications · 10 citations
1–5