Genetic algorithm based steganography using wavelets

Authors:
K. B. Raja;K. Kiran Kumar;N. Satish Kumar;M. S. N. Lakshmi;H. Preeti;K. R. Venugopal;Lalit M. Patnaik
Affiliations:
Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore; ; ; ; ;Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore;Microprocessor Applications Laboratory, Indian Institute of Science, Bangalore, India
Venue:
ICISS'07 Proceedings of the 3rd international conference on Information systems security
Year:
2007

Citing 7
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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.