Hidden File Detection
Hidden File Detection is a forensic analysis method in the domain of File System and Rootkit Analysis that identifies files concealed through structural, permission-based, or kernel-level manipulation by distinguishing them from normally accessible files through non-standard directory enumeration or direct disk inspection techniques.
23
Publications
701
Citations
59
Authors
17
Institutions
Publications per year
2017–2026
1
23
1–5 of 23
59
6
h-index
5
h-index
2
h-index
2
h-index
2
h-index
1–5 of 59
17
University of Malaya
Kuala Lumpur, Malaysia
2 h-index
8 publications
227 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
2 publications
89 citations
Mississippi State University
Starkville, United States
2 h-index
5 publications
75 citations
University at Albany, State University of New York
Albany, United States
2 h-index
3 publications
41 citations
Netherlands Forensic Institute
The Hague, Netherlands
2 h-index
2 publications
89 citations

King's College - North Carolina
Charlotte, United States
1 h-index
3 publications
33 citations

Champlain College
Burlington, United States
1 h-index
1 publications
132 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
6 publications
102 citations
1–8 of 17
1 publications · 22 citations
1
h-index
1 publications · 44 citations
1
h-index
Repository · 1 publications · 132 citations
1
h-index
Repository · 1 publications · 44 citations
1
h-index
1 publications · 38 citations
1
h-index
1–5