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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 3, 2016.
Abstract: with the rapid advance in digital network, information technology, digital libraries, and particularly World Wide Web services, many kinds of information could be retrieved any time. Thus, the security issue has become one of the most significant problems for distributing new information. It is necessary to protect this information while passing over insecure channels. Steganography introduces a strongly approach to hide the secret data in an appropriate media carriers such as images, audio files, text files, and video files. In this paper, a new image steganography method based on spatial domain is proposed. According to the proposed method, the secret message is embedded randomly in the pixel location of the cover image using Pseudo Random Number Generator (PRNG) of each pixel value of the cover image instead of embedding sequentially in the pixels of the cover image. This randomization is expected to increase the security of the system. The proposed method works with two layers (Blue and Green), as (2-1-2) layer, and the byte of the message will be embedded in three pixels only in this form (3-2-3). From the experimental results, it has found that the proposed method achieves a very high Maximum Hiding Capacity (MHC), and higher visual quality as indicated by the Peak Signal-to- Noise Ratio (PSNR).
Marwa M. Emam, Abdelmgeid A. Aly and Fatma A. Omara, “An Improved Image Steganography Method Based on LSB Technique with Random Pixel Selection” International Journal of Advanced Computer Science and Applications(IJACSA), 7(3), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070350
@article{Emam2016,
title = {An Improved Image Steganography Method Based on LSB Technique with Random Pixel Selection},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070350},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070350},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {3},
author = {Marwa M. Emam and Abdelmgeid A. Aly and Fatma A. Omara}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.