Hidden Data Detection
Hidden Data Detection is a forensic analysis technique that identifies concealed information within digital storage media by distinguishing intentional obfuscation methods, such as steganography or data padding, from normal file artifacts.
348
Publications
15K
Citations
796
Authors
339
Institutions
Publications per year
2017–2026
95
Parents
348
Hide and seek: an introduction to steganography
Niels Provos, Peter Honeyman · IEEE Security & Privacy · 2003 · 1.3K citations
Data hiding in binary image for authentication and annotation
Min Wu, Bede Liu · IEEE Transactions on Multimedia · 2004 · 377 citations
1–5 of 348
796
15
h-index
14
h-index
13
h-index
11
h-index
6
h-index
1–5 of 796
339
Université de Technologie de Troyes
Troyes, France
13 h-index
48 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
41 publications
872 citations
Binghamton University
Binghamton, United States
6 h-index
11 publications
2.9K citations

McMaster University
Hamilton, Canada
6 h-index
10 publications
1.8K citations
University of Oxford
Oxford, United Kingdom
5 h-index
5 publications
501 citations
Warsaw University of Technology
Warsaw, Poland
5 h-index
12 publications
957 citations
University of California, Santa Barbara
Santa Barbara, United States
5 h-index
22 publications
1.3K citations
Sepuluh Nopember Institute of Technology
Surabaya, Indonesia
4 h-index
18 publications
382 citations
1–8 of 339
10 publications · 1.3K citations
10
h-index
10 publications · 426 citations
10
h-index
8 publications · 237 citations
8
h-index
5 publications · 185 citations
5
h-index
3 publications · 135 citations
3
h-index
1–5