The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Steganalysis Using Higher-Order Image Statistics
Abstract
Techniques for information hiding (steganography) are becoming increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages is also becoming considerably more difficult. We describe a universal approach to steganalysis for detecting the presence of hidden messages embedded within digital images. We show that, within multiscale, multiorientation image decompositions (e.g., wavelets), first- and higher-order magnitude and phase statistics are relatively consistent across a broad range of images, but are disturbed by the presence of embedded hidden messages. We show the efficacy of our approach on a large collection of images, and on eight different steganographic embedding algorithms.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
A Tutorial on Support Vector Machines for Pattern Recognition
Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,429
Libsvm : A library for support vector machines
Ferrari, V. (2008) · Medical Entomology and Zoology · Cited by 10,122
Petitcolas, F. A. P., Anderson, R. J., & Kuhn, M. G. (1999) · Proceedings of the IEEE · doi:10.1109/5.771065 · Cited by 2,546
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
Portilla, J., & Simoncelli, E. P. (2000) · International Journal of Computer Vision · doi:10.1023/a:1026553619983 · Cited by 1,806
Exploring steganography: Seeing the unseen
Johnson, N. F., & Jajodia, S. (1998) · Computer · doi:10.1109/mc.1998.4655281 · Cited by 1,485
On the limits of steganography
Anderson, R. J., & Petitcolas, F. A. P. (1998) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.668971 · Cited by 1,170
Attacks on Steganographic Systems
Westfeld, A., & Pfitzmann, A. (2000) · Lecture Notes in Computer Science · doi:10.1007/10719724_5 · Cited by 934
Metadata
- Authors
- Lyu, S., & Farid, H.
- Venue
- IEEE Transactions on Information Forensics and Security
- Published
- 2006-03
- Volume
- 1
- Issue
- 1
- Pages
- 111-119
- ISSN
- 1556-6013 (ISSN-L)
- OpenAlex
- W2155447586
- Cited by
- 389
- References
- 24
- FWCI
- 40.77
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Steganalysis Using Higher-Order Image Statistics. https://app.cochat.ai/papers/10.1109/tifs.2005.863485
- The paper
- Lyu, S., & Farid, H. (2006). Steganalysis Using Higher-Order Image Statistics. IEEE Transactions on Information Forensics and Security. https://doi.org/10.1109/tifs.2005.863485
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
