Malware Detection In Memory
Malware Detection in Memory is a computational methodology within memory forensics that identifies malicious software by analyzing volatile system memory contents for behavioral and structural indicators distinct from static code analysis.
40
Publications
1.4K
Citations
110
Authors
59
Institutions
Publications per year
2017–2026
25
Parents
40
A malware classification method based on memory dump grayscale image
Yusheng Dai, Hui Li, Yekui Qian et al. · Digital Investigation · 2018 · 122 citations
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Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
2 h-index
3 publications
94 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
161 citations
Università della Svizzera italiana
Lugano, Switzerland
2 h-index
6 publications
117 citations
University of California System
Oakland, United States
2 h-index
12 publications
378 citations

National Institute of Technology Karnataka
Mangaluru, India
1 h-index
2 publications
94 citations
Google (Switzerland)
Zurich, Switzerland
1 h-index
1 publications
21 citations

Ferdowsi University of Mashhad
Mashhad, Iran
1 h-index
1 publications
19 citations
Roma Tre University
Rome, Italy
1 h-index
1 publications
18 citations
1–8 of 59
8 publications · 313 citations
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4 publications · 260 citations
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Conference · 1 publications · 21 citations
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1 publications · 15 citations
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1 publications · 14 citations
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