Image steganalysis with binary similarity measures
Eurasip Journal on Applied Signal Processing, ISSN: 1110-8657, Vol: 2005, Issue: 17, Page: 2749-2757
2005
- 143Citations
- 65Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
We present a novel technique for steganalysis of images that have been subjected to embedding by steganographic algorithms. The seventh and eighth bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that the correlation between the bit planes as well as the binary texture characteristics within the bit planes will differ between a stego image and a cover image. These telltale marks are used to construct a classifier that can distinguish between stego and cover images. We also provide experimental results using some of the latest steganographic algorithms. The proposed scheme is found to have complementary performance vis-à-vis Farid's scheme in that they outperform each other in alternate embedding techniques. © 2005 Hindawi Publishing Corporation.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33645696636&origin=inward; http://dx.doi.org/10.1155/asp.2005.2749; https://asp-eurasipjournals.springeropen.com/articles/10.1155/ASP.2005.2749; http://www.hindawi.com/journals/asp/2005/679350.pdf; http://link.springer.com/content/pdf/10.1155/ASP.2005.2749.pdf; https://dx.doi.org/10.1155/asp.2005.2749
Springer Nature
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