The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Hide and seek: an introduction to steganography
Abstract
Although people have hidden secrets in plain sight-now called steganography-throughout the ages, the recent growth in computational power and technology has propelled it to the forefront of today's security techniques. Essentially, the information-hiding process in a steganographic system starts by identifying a cover medium's redundant bits (those that can be modified without destroying that medium's integrity). The embedding process creates a stego medium by replacing these redundant bits with data from the hidden message. This article discusses existing steganographic systems and presents recent research in detecting them via statistical steganalysis. Here, we present recent research and discuss the practical application of detection algorithms and the mechanisms for getting around them.
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Cites
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Comprehensive survey of image steganography: Techniques, Evaluations, and trends in future research
Kadhim, I. J., Premaratne, P., Vial, P. J., & Halloran, B. (2019) · Neurocomputing · doi:10.1016/j.neucom.2018.06.075 · Cited by 452
Baluja, S. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2901877 · Cited by 325
When Machine Learning Meets Privacy in 6G: A Survey
Sun, Y., Liu, J., Wang, J., Cao, Y., & Kato, N. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3011561 · Cited by 211
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
Wu, J., Yang, S., Zhan, R., Yuan, Y., Chao, L. S., & Wong, D. F. (2025) · Computational Linguistics · doi:10.1162/coli_a_00549 · Cited by 212
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
Liao, C., Zhong, H., Squicciarini, A., Zhu, S., & Miller, D. (2018) · arXiv · doi:10.48550/arxiv.1808.10307 · Cited by 110
Metadata
- Authors
- Provos, N., & Honeyman, P.
- Venue
- IEEE Security & Privacy
- Published
- 2003-05
- Volume
- 1
- Issue
- 3
- Pages
- 32-44
- ISSN
- 1540-7993 (ISSN-L)
- 1558-4046
- OpenAlex
- W2103228545
- Cited by
- 1,292
- References
- 20
- FWCI
- 17.48
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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