Steganography Using Genetic Encryption Along With Visual Cryptography
|International Journal of Computer Science and Engineering|
|© 2015 by SSRG - IJCSE Journal|
|Volume 2 Issue 1|
|Year of Publication : 2015|
|Authors : Shruti Sekra, Samta Balpande, Karishma Mulani|
How to Cite?
Shruti Sekra, Samta Balpande, Karishma Mulani, "Steganography Using Genetic Encryption Along With Visual Cryptography," SSRG International Journal of Computer Science and Engineering , vol. 2, no. 1, pp. 1-5, 2015. Crossref, https://doi.org/10.14445/23488387/IJCSE-V2I1P102
Authentication login plays a major rule in today’s world. Due to unavoidable hacking of the databases, it is always quite difficult to trust the information. The project work aims to solve the problem of authenticity. In this paper, we are proposing a technique utilizing image processing, Steganography and visual cryptography, and then dividing it into shares. In this project the message or the text file is taken as an input from the user which needs to get embedded in the image file. The image file can be of the extensions .jpg or .png. It focuses on hiding secret messages inside a cover medium (image). The most important property of a cover medium is the amount of data that can be stored inside it without changing its noticeable properties. There are many sophisticated techniques with which to hide, analyze, and recover that hidden information. This paper discusses an exploration in the use of Genetic Algorithm operators on the cover medium. Elitism is used for the fitness function. The model presented here is applied on image files, though the idea can also be used on other file types. Our results show this approach satisfied both security and hiding capacity requirements.
Genetic Algirithm, Steganography,
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