Publication Type:

Journal Article


Advances in Intelligent Systems and Computing, Springer Verlag, Volume 515, p.777-785 (2017)





Computation theory, Geometric operations, Image processing, Intelligent computing, Markov feature, PSNR, Radiometric operations, Singular value decomposition, SSIM, Steganography


<p>Steganography is an art of hiding of secret information in an innocuous medium like an image. Most of the current steganographic algorithms hide data in the spatial or transform domain. In this paper, we perform attacks on three singular value decomposition-based spatial steganographic algorithms, by applying image processing operations. By performing these attacks, we were able to destroy the stego content while maintaining the perceptual quality of the source image. Experimental results showed that stego content can be suppressed at least by 40%. PSNR value was found to be above 30 dB and SSIM obtained was 0.61. Markov feature and BER are used to calculate the percentage of stego removed. © Springer Nature Singapore Pte Ltd. 2017.</p>


cited By 0; Conference of 5th International Conference on Frontiers in Intelligent Computing Theory and Applications, FICTA 2016 ; Conference Date: 16 September 2016 Through 17 September 2016; Conference Code:189629

Cite this Research Publication

P. P. Amritha, Ravi, R. P., and Dr. M. Sethumadhavan, “Active steganalysis on svd-based embedding algorithm”, Advances in Intelligent Systems and Computing, vol. 515, pp. 777-785, 2017.