Memory Forensics For Malware
Memory Forensics for Malware is a methodological framework within malware reverse engineering that involves the systematic analysis of volatile memory contents to detect, extract, and analyze malicious artifacts and runtime behaviors of malware that are not easily discernible through static code examination.
17
Publications
709
Citations
47
Authors
26
Institutions
Publications per year
2017–2026
12
Parents
17
Anti-forensic resilient memory acquisition
Johannes Stüttgen, Michael Cohen · Digital Investigation · 2013 · 74 citations · Full text
Hamad Naeem, Shi Dong, Olorunjube James Falana et al. · Expert Systems with Applications · 2023 · 68 citations
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26
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
2 h-index
3 publications
154 citations
EURECOM
Valbonne, France
1 h-index
1 publications
18 citations
Centro Universitario de la Defensa en San Javier
San Javier, Spain
1 h-index
2 publications
22 citations
Zhoukou Normal University
Zhoukou, China
1 h-index
2 publications
136 citations
University of New Orleans
New Orleans, United States
1 h-index
1 publications
34 citations

Iran University of Medical Sciences
Tehran, Iran
1 h-index
1 publications
15 citations
Roma Tre University
Rome, Italy
1 h-index
1 publications
18 citations
Google (Switzerland)
Zurich, Switzerland
1 h-index
1 publications
74 citations
1–8 of 26
8 publications · 267 citations
8
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2 publications · 143 citations
2
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1 publications · 37 citations
1
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1 publications · 129 citations
1
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1 publications · 15 citations
1
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