Title: A genetic-algorithm-based steganography on colour images (GASCI)

Authors: J.K. Mandal; A. Khamrui

Addresses: Department of Computer Science and Engineering, University of Kalyani, Kalyani, Nadia 741235, West Bengal, India ' Future Institute of Engineering and Management, Department of Computer Science and Engineering, Sonarpur Station Road, Sonarpur, Kolkata 150, West Bengal, India

Abstract: A Genetic Algorithm based color image authentication/data hiding technique through steganographic approach, termed as Genetic-Algorithm-based Steganography on Color Images (GASCI), has been proposed. Message/image is embedded on spatial domain onto rightmost three bits of each byte using 3×3 masks taken from source image in row major orde to generate stego image. New Generation, Crossover and Mutation are applied to enhance security level. Reverse process is followed during decoding. Various statistical parameters computed are compared with existing Yu et al. (2010) and Wang et al. (2001) which shows proposed GASCI obtained better results in terms of PSNR.

Keywords: GASCI; genetic algorithms; steganography; colour images; GAs; PSNR; peak SNR; signal to noise ratio; image authentication; data hiding; security levels.

DOI: 10.1504/IJSISE.2014.057935

International Journal of Signal and Imaging Systems Engineering, 2014 Vol.7 No.1, pp.59 - 63

Received: 07 Feb 2011
Accepted: 13 May 2011
Published online: 24 Oct 2014 *

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