The Improvement of Steganography Function Based on the Least Significant Bit in RGB Color
American Journal of Software Engineering and Applications
Volume 5, Issue 3-1, May 2016, Pages: 1-4
Received: Jan. 6, 2016;
Accepted: Jan. 7, 2016;
Published: Jun. 24, 2016
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Arman Nejahi, Department of Computer Engineering, Khorasgan (Isfahan) Branch, Islamic Azad University, Isfahan, Iran
Farsad Zamani Boroujeni, Department of Computer Engineering, Khorasgan (Isfahan) Branch, Islamic Azad University, Isfahan, Iran
When files are created, there are always bits that are not really needed and are not at least important. These bits have the capability of being changed with the information which must be hidden in the file, without damage and changes in the file. There are different methods of image steganography, among which Least Significant Bit (LSB) method is the most common one and we intend to use this method for making stego image. A LSB replacement-based newly developed method (the least significant bit) has been presented in 24 bit color images. We propose a newly developed method of information security in RGB color images using a combined method composed of a two-component method based on the replacement and adaptation of LSB for hiding information and providing more security level. We have used Advanced Encryption Standard (AES) for resisting against attacks, a combined filtering and different disorders.
Farsad Zamani Boroujeni,
The Improvement of Steganography Function Based on the Least Significant Bit in RGB Color, American Journal of Software Engineering and Applications. Special Issue: Advances in Computer Science and Information Technology in Developing Countries.
Vol. 5, No. 3-1,
2016, pp. 1-4.
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Y. Bassil, “Image steganography based on a parameterized canny edge detection algorithm,” International Journal of Computer Applications, vol. 60, no. 4, Dec. 2012.
W. Chen, C. Chang, and T. Le, “High Payload steganography mechanism using hybrid edge detector,” Expert Systems with applications, vol. 37, pp. 3292-3301, 2010.
M. Hussain and M. Hussain, “Embedding data in edge boundaries with high PSNR,” in Proceedings of 7th International Conference on Emerging Technologies, pp. 1-6, Sep. 2011.
B. Li, J. He, J. Huang, and Y. Q. Shi, “A survey on image steganography and steganalysis,” Journal of Information Hiding and Multimedia Signal Processing, vol. 2, no. 2, pp. 142-172, Apr. 2011.
X. Liao, Q. Y. Wen, and J. Zhang, “A steganographic method for digital images with four-pixel differencing and modified LSB substitution,” Journal of Visual Communication and Image Representation, vol. 22, no. 1, pp. 1-8, 2011.
W. Luo, F. Huang, and J. Huang, “Edge adaptive image steganography based on LSB matching revisited,” IEEE Transactions on Infomation Forensics Security, vol. 5, no. 2, pp. 201-214, 2010.
J. K. Mandal and D. Das, “Color image steganography based on pixel value differencing in spatial domain,” International Journal of Information Sciences and Techniques, vol. 2, no. 4, pp. 83 -93, July 2012.
N. Singh, B. S. Bhati, and R. S. Raw, “A novel digital image steganalysis approach for investigation,” International Journal of Computer Applications, vol. 47, no. 12, pp. 18 -21, June 2012.
Specification for the Advanced Encryption Standard (AES), Federal Information processing Standards Publication 197, 2012.
G. Svvalin and S. K. Lenka, “A novel approach to RGB channel based image steganography technique,” International Arab Journal of e-Technology, vol. 2, no. 4, pp. 181-186, June 2012.