Title
Genetic algorithm based steganography using wavelets
Abstract
Steganography has long been a means of secure communication. Security is achieved by camouflaging the secret message. In this paper, we present a Genetic Algorithm based Steganography using Discrete Cosine Transforms(GASDCT) and Genetic Algorithm based Steganography using DiscreteWavelets Transform(GASDWT). In our approach, the Discrete Cosine Transform and Discrete Wavelet Transform are applied to the payload. Genetic Algorithm is used to generate many stego-images based on Fitness functions; one of these which give least statistical evidence of payload is selected as the best stego image to be communicated to the destination. It is observed that GASDWT has an improvement in Bit Error Rate(BER), Peak Signal to Noise Ratio(PSNR) and embedding capacity as compared to GASDCT.
Year
DOI
Venue
2007
10.1007/978-3-540-77086-2_5
ICISS
Keywords
Field
DocType
peak signal,fitness function,genetic algorithm,discrete wavelet transform,embedding capacity,noise ratio,bit error rate,discrete cosine transforms,discretewavelets transform,discrete cosine transform,secure communication,peak signal to noise ratio
Steganography,Peak signal-to-noise ratio,Data mining,Lapped transform,Computer science,Discrete cosine transform,Algorithm,Transform coding,Theoretical computer science,Discrete wavelet transform,Stationary wavelet transform,Wavelet
Conference
Volume
ISSN
ISBN
4812
0302-9743
3-540-77085-2
Citations 
PageRank 
References 
4
0.41
11
Authors
7
Name
Order
Citations
PageRank
K. B. Raja1349.60
K. Kiran Kumar250.79
N. Satish Kumar340.41
M. S. N. Lakshmi440.41
H. Preeti540.41
K. R. Venugopal626748.80
Lalit M. Patnaik724348.76