The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Steganography in digital media: principles, algorithms, and applications
Abstract
Steganography, the art of hiding of information in apparently innocuous objects or images, is a field with a rich heritage, and an area of rapid current development. This clear, self-contained guide shows you how to understand the building blocks of covert communication in digital media files and how to apply the techniques in practice, including those of steganalysis, the detection of steganography. Assuming only a basic knowledge in calculus and statistics, the book blends the various strands of steganography, including information theory, coding, signal estimation and detection, and statistical signal processing. Experiments on real media files demonstrate the performance of the techniques in real life, and most techniques are supplied with pseudo-code, making it easy to implement the algorithms. The book is ideal for students taking courses on steganography and information hiding, and is also a useful reference for engineers and practitioners working in media security and information assurance.
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
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Experimental Test of Bell's Inequalities Using Time- Varying Analyzers
Aspect, A., Dalibard, J., & Roger, G. (1982) · Physical Review Letters · doi:10.1103/physrevlett.49.1804 · Cited by 3,942
Exploring steganography: Seeing the unseen
Johnson, N. F., & Jajodia, S. (1998) · Computer · doi:10.1109/mc.1998.4655281 · Cited by 1,485
A Capacity Result for Batch Steganography
Ker, A. D. (2007) · IEEE Signal Processing Letters · doi:10.1109/lsp.2006.891319 · Cited by 113
Cited by
Rich Models for Steganalysis of Digital Images
Fridrich, J., & Kodovsky, J. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2190402 · Cited by 2,144
Reversible data hiding: Advances in the past two decades
Shi, Y.-Q., Li, X., Zhang, X., Wu, H.-T., & Ma, B. (2016) · IEEE Access · doi:10.1109/access.2016.2573308 · Cited by 594
Information Forensics: An Overview of the First Decade
Stamm, M. C., Wu, M., & Liu, K. J. R. (2013) · IEEE Access · doi:10.1109/access.2013.2260814 · Cited by 394
Hiding information in noise: fundamental limits of covert wireless communication
Bash, B. A., Goeckel, D., Towsley, D., & Guha, S. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7355562 · Cited by 388
RNN-Stega: Linguistic Steganography Based on Recurrent Neural Networks
Yang, Z.-L., Guo, X.-Q., Chen, Z.-M., Huang, Y.-F., & Zhang, Y.-J. (2019) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2871746 · Cited by 322
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 2010-08-01
- Volume
- 47
- Issue
- 12
- Pages
- 47-6907-47-6907
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W1482218439
- Cited by
- 546
- References
- 4
- Type
- book review
- 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: Steganography in digital media: principles, algorithms, and applications. https://app.cochat.ai/papers/10.5860/choice.47-6907
- The paper
- Steganography in digital media: principles, algorithms, and applications. (2010). Choice Reviews Online. https://doi.org/10.5860/choice.47-6907
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.