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A framework of secured and bio-inspired image steganography using chaotic encryption with genetic algorithm optimization (CEGAO)

Bandyopadhyay, D., Dasgupta, K., Mandal, J. K., Dutta, P., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Snášel, V. (2014) A framework of secured and bio-inspired image steganography using chaotic encryption with genetic algorithm optimization (CEGAO). In: Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA, 23-25 Jun 2014, Ostrava, Czech Republic, pp. 271-280, https://doi.org/10.1007/978-3-319-08156-4_27.

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To link to this item DOI: 10.1007/978-3-319-08156-4_27

Abstract/Summary

The two key issues related to steganography techniques are, statistical undetectability and picture quality. Image steganography takes the advantage of limited power of Human Visual System (HVS). The proposed framework offers an approach of secure data hiding technique in digital images. Novel scheme presented encrypts meaningful secret data using nonlinear dynamics (chaos theory) before embedding into host or cover image. A basic LSB embedding method is used for encrypting data into cover image. Genetic Algorithm based pixel adjustment process is used to reduce the difference of error between the host image and its stego version with low distortions. The results of proposed scheme are compared with other steganographic algorithm using Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) index, color frequency test and StirMark analysis.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:93562
Publisher:Springer Science \mathplus Business Media

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