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Embedding Secret Data in Color Image Using LSB.
- Source :
- Journal of College of Education for Pure Science; Dec2022, Vol. 12 Issue 2, p196-206, 11p
- Publication Year :
- 2022
-
Abstract
- Currently, steganography is considered the most powerful technique among other procedures to obscure the presence of buried information within a cover body. The Greek word steganographic means covered writing. This term may be considered the most appropriate to bury confidential secret data via internet correspondence. Steganography technique can be defined as the science of safe electronics transmitting. So, the aims of the steganography technique are to hide the presence of conveying data from un unwilling party. Various carrier object formats can be implemented, but color images become the more common among the other digital object. Currently, a lot of works adopted the image steganography as a cover object. The contemporary secure image steganography technique offerings a transferring the embedded confidential information task to the intended end point without being perceived or even suspicious by the attackers. There exists a large variability of steganographic techniques for fixed secret data in color images. Some of these techniques are more complicated than others, and each of these methods has positive and negative considered points. The objective of this work is to give a brief overview of steganography techniques using color images as a cover object by implementing MATLAB software using the LSB algorithm. We found that the carrier image keeps the original feature without any distortion caused by embedded secret information. The performance measured by PSNR and MSE technique and shown satisfied results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20736592
- Volume :
- 12
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Journal of College of Education for Pure Science
- Publication Type :
- Academic Journal
- Accession number :
- 162183432
- Full Text :
- https://doi.org/10.32792/utq.jceps.12.02.20