Authentication and Secret Message Transmission Technique Using Discrete Fourier Transformation
- 1 Computer Science and Engineering Department, Heritage Institute of Technology, Kolkata, India
- 2 Computer Science and Engineering Department, Heritage Institute of Technology, Kolkata, India
- 3 Computer Science and Engineering Department, Heritage Institute of Technology, Kolkata, India
- 4 Department of Computer Science and Engineering, University of Calcutta, Kolkata, India
- 5 Hannam University, Daejeon, Korea
Abstract
In this paper a novel technique, Authentication and Secret Message Transmission using Discrete Fourier Transformation (ASMTDFT) has been proposed to authenticate an image and also some secret message or image can be transmitted over the network. Instead of direct embedding a message or image within the source image, choosing a window of size 2 x 2 of the source image in sliding window manner and then con-vert it from spatial domain to frequency domain using Discrete Fourier Transform (DFT). The bits of the authenticating message or image are then embedded at LSB within the real part of the transformed image. Inverse DFT is performed for the transformation from frequency domain to spatial domain as final step of encoding. Decoding is done through the reverse procedure. The experimental results have been discussed and compared with the existing steganography algorithm S-Tools. Histogram analysis and Chi-Square test of source image with embedded image shows the better results in comparison with the S-Tools.
- N. Nameer and E. Eman, “Hiding a large amount of data with high security using steganography algorithm,” Journal of Computer Sciences, pp. 223-232, April 2007.
- P. K. Amin, N. Liu, and K. P. Subbalakshmi, “Statistically secure digital image data hiding,” Multimedia Signal Processing, IEEE 7th Workshop, Shanghai, pp. 1-4, October 2005.
- R. Chandramouli and N. Memon, “Analysis of LSB based image steganography techniques,” International Conference on Image Processing, Thessaloniki, Greece, pp. 1019-1022, 2001.
- S. Dumitrescu, X. L. Wu, and Z. Wang, “Detection of LSB steganography via sample pair analysis,” IEEE Transactions on Signal Processing, Vol. 51, No. 7, pp. 1995-2007, July 2003.
- B. Chen and G. W. Wornell, “Quantization index modulation: A class of provably good methods for digital watermarking and information embedding,” IEEE Transac-tion on Information Theory, Vol. 47, pp. 1423-1443, 2001.
- P. Moulin and J. A. O’Sullivan, “Information-theoretic analysis of information hiding,” IEEE International Symposium on Information Theory, Sorrento, Italy, pp. 19, June 2000.
- P. Moulin and M. K. M?hcak, “A framework for evaluating the data-hiding capacity of image sources,” IEEE Transaction on Image Processing, Vol. 11, pp. 1029- 1042, September 2002.
- C. Y. Lin and S. F. Chang, “A robust image authentication method surviving JPEG lossy compression,” SPIE, pp. 296-307, 1998.
- S. Pavan, G. Sridhar, and V. Sridhar, “Multivariate entropy detector based hybrid image registration,” IEEE ICASSP, Vol. 2, pp. 873-876, March 18-23, 2005.
- H. H. Pang, K. L. Tan, and X. Zhou, “Steganographic schemes for file system and B-tree,” IEEE Transaction on Knowledge and Data Engineering, Vol. 16, No. 6, pp. 701-713, June 2004.
- http://www.spychecker.com/download/download_stools.html, visited as on March 28, 2009