Optimization of Secure Data for Steganography and Digital Watermarking Scheme

Authors

  • Rai A Dept. of Electronics and Communication Engineering, UIT-RGPV, Bhopal
  • Todkar V Dept. of Electronics and Communication Engineering, UIT-RGPV, Bhopal

DOI:

https://doi.org/10.26438/ijcse/v7i6.10361040

Keywords:

Discrete Wavelet Transform, SVD, PSNR, MSE

Abstract

“Steganography” is a technique that thwarts unauthorized users to have access to the crucial data, to invisibility and payload capacity using the different technique like discrete cosine transform (DCT) and discrete wavelet transform (DWT).The available methods till date result in good robustness but they are not independent of file format. The aim of this research work is to develop a independent of file format and secure hiding data scheme. The independent of file format and secure hiding data scheme in increased by combining DWT and least significant bits (LSB) technique. Accordingly an efficient scheme is developed here that are having better MSE and PSNR against different characters.

References

[1] N. Senthil Kumaran, and S. Abinaya, “Comparison Analysis of Digital Image Watermarking using DWT and LSB Technique”, International Conference on Communication and Signal Processing, April 6-8, 2016, India.

[2] Aase, S.O., Husoy, J.H. and Waldemar, P. (2014) A Critique of SVD-Based Image Coding Systems, IEEE International Symposium on Circuits and Systems VLSI, Orlando, FL, Vol. 4, Pp. 13-16.

[3] Ahmed, F. and Moskowitz, I.S. (2014) Composite Signature Based Watermarking for Fingerprint Authentication, ACM Multimedia and Security Workshop, New York, Pp.1-8.

[4] Akhaee, M.A., Sahraeian, S.M.E. and Jin, C. (2013) Blind Image Watermarking Using a Sample Projection Approach, IEEE Transactions on Information Forensics and Security, Vol. 6, Issue 3, Pp.883-893.

[5] Ali, J.M.H. and Hassanien, A.E. (2012) An Iris Recognition System to Enhance E-security Environment Based on Wavelet Theory, Advanced Modeling and Optimization, Vol. 5, No. 2, Pp. 93-104.

[6] Al-Otum, H.M. and Samara, N.A. (2009) A robust blind color image watermarking based on wavelet-tree bit host difference selection, Signal Processing, Vol. 90, Issue 8, Pp. 2498-2512.

[7] Ateniese, G., Blundo, C., De Santis, A. and Stinson, D.R. (1996) Visual cryptography for general access structures, Information Computation, Vol. 129, Pp. 86-106.

[8] Baaziz, N., Zheng, D. and Wang, D. (2011) Image quality assessment based on multiple watermarking approach, IEEE 13th International Workshop on Multimedia Signal Processing (MMSP), Hangzhou, Pp.1-5.

[9] Bao, F., Deng, R., Deing, X. and Yang, Y. (2008) Private Query on Encrypted Data in Multi-User Settings, Proceedings of 4th International Conference on Information Security Practice and Experience (ISPEC 2008), Pp. 71-85, 2008.

[10] Barni, M. and Bartolini, F. (2004) Watermarking systems engineering: Enabling digital assets security and other application, Signal processing and communications series, Marcel Dekker Inc., New York.

[11] Barni, M., Bartolini, F. and Piva, A. (2001) Improved Wavelet based Watermarking Through Pixel-Wise Masking, IEEE Transactions on Image Processing, Vol. 10, Pp. 783-791.

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Published

2019-06-30
CITATION
DOI: 10.26438/ijcse/v7i6.10361040
Published: 2019-06-30

How to Cite

[1]
A. Rai and V. Todkar, “Optimization of Secure Data for Steganography and Digital Watermarking Scheme”, Int. J. Comp. Sci. Eng., vol. 7, no. 6, pp. 1036–1040, Jun. 2019.

Issue

Section

Research Article