Research Article
Introducing Image Steganography in Bangla Language Communication
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 110 - Issue 8 |
| Published: January 2015 |
| Authors: Sams Jarin, Shah Mohazzem Hossain, Md. Rabiul Islam |
10.5120/19333-0660
|
Sams Jarin, Shah Mohazzem Hossain, Md. Rabiul Islam . Introducing Image Steganography in Bangla Language Communication. International Journal of Computer Applications. 110, 8 (January 2015), 1-5. DOI=10.5120/19333-0660
@article{ 10.5120/19333-0660,
author = { Sams Jarin,Shah Mohazzem Hossain,Md. Rabiul Islam },
title = { Introducing Image Steganography in Bangla Language Communication },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 110 },
number = { 8 },
pages = { 1-5 },
doi = { 10.5120/19333-0660 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Sams Jarin
%A Shah Mohazzem Hossain
%A Md. Rabiul Islam
%T Introducing Image Steganography in Bangla Language Communication%T
%J International Journal of Computer Applications
%V 110
%N 8
%P 1-5
%R 10.5120/19333-0660
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Steganography is a modern technique of science by which any message can be hidden in such a way that no one, apart from the sender and intended recipient, suspects the existence of the message like a form of security through obscurity. This technique has advantage over cryptography alone, is that messages do not attract attention to themselves where cryptography protects the contents of a message, steganography can be said to protect both messages and communicating parties. Now-a-days wide ranges of algorithms have been used using text, audio, video and images files as covering media. This paper represents a new approach for steganography in bangla texts considering the typical structure of bangla alphabets and also introduces a much easier process by which secret message is embedded in a 24 bit color image by using widely used 4LSB method. This paper shows a new path to provide an imperceptible stego-image for human natural vision by enhancing the embedding capacity of image steganography.
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