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Data Hiding by LSB Substitution using Gene Expression Programming

by Marghny H. Mohamed, Hussein I. Abul-kasim
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 14
Year of Publication: 2012
Authors: Marghny H. Mohamed, Hussein I. Abul-kasim

Marghny H. Mohamed, Hussein I. Abul-kasim . Data Hiding by LSB Substitution using Gene Expression Programming. International Journal of Computer Applications. 45, 14 ( May 2012), 13-20. DOI=10.5120/6848-9408

@article{ 10.5120/6848-9408,
author = { Marghny H. Mohamed, Hussein I. Abul-kasim },
title = { Data Hiding by LSB Substitution using Gene Expression Programming },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 14 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 13-20 },
numpages = {9},
url = { },
doi = { 10.5120/6848-9408 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:37:36.644776+05:30
%A Marghny H. Mohamed
%A Hussein I. Abul-kasim
%T Data Hiding by LSB Substitution using Gene Expression Programming
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 14
%P 13-20
%D 2012
%I Foundation of Computer Science (FCS), NY, USA

Steganography is defined as the art and science of writing hidden in such a way that no one apart from the sender and the intended recipient even knows that there is a hidden message. One of the most important techniques of Steganography is the Least Significant Bit (LSB) which embeds the secret message in the host image. It is based on replacing the LSBs of the host-image with the secret message bits giving a stego-image. The proposed scheme consists mainly of two phases: In the first phase, we propose a hybrid data hiding scheme incorporates LSB technique with a key permutation method. While in the second phase, we proposed a new scheme for finding the optimal key-permutation by using gene expression programming (GEP). Where, GEP is a powerful evolutionary algorithm for data analysis and combines the advantages of both genetic algorithms (GA) and genetic programming (GP).

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Index Terms

Computer Science
Information Sciences


Steganography Data Hiding Key-permutation Lsb Substitution Gene Expression Programming