Bio-informatics with Genetic Steganography Technique

Wazirali, RA; Chaczko, Z

Bio-informatics with Genetic Steganography Technique

Wazirali, RA Chaczko, Z

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Publication Type:: Conference
Citation:: 2015
Issue Date:: 2015-04-08

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Field	Value	Language
dc.contributor.author	Wazirali, RA
dc.contributor.author	Chaczko, Z
dc.date.accessioned	2015-03-16T01:12:21Z
dc.date.issued	2015-04-08
dc.identifier.citation	2015
dc.identifier.uri	http://hdl.handle.net/10453/34184
dc.description.abstract	Biological systems have been a rich source of stimulation for computer security specialists. A wide number of approaches have been proposed over the last decade for encoding data using deoxyribonucleic acid (DNA), giving rise to the developing area of DNA data hiding. In this work, a new data hiding technique based upon DNA characteristic have been developed. DNA matrix has been used to represent the secret message. After that DNA matrix converted to QR (Quick Response) representation that offers a broad scope of practical usage. In addition, the paper provides an idea of choosing the optimal locations of the QR in order to obtain rightmost position. A new system based on the genetic algorithm has been developed. Finally, we embed the QR codes into the the most appropriate location by applying the HaarWavelet technique on the resulting DNA signals and LSB with assist of the GA in order to reduce the error between the cover image and the stego image. Experimental results have presented a high PSNR which indicate a high level of quality in stego image with high capacity.
dc.title	Bio-informatics with Genetic Steganography Technique
dc.type	Conference
pubs.embargo.period	Not known
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.declined	1970-01-01T00:00:00.0+1000
pubs.deleted	1970-01-01T00:00:00.0+1000

Abstract:

Biological systems have been a rich source of stimulation for computer security specialists. A wide number of approaches have been proposed over the last decade for encoding data using deoxyribonucleic acid (DNA), giving rise to the developing area of DNA data hiding. In this work, a new data hiding technique based upon DNA characteristic have been developed. DNA matrix has been used to represent the secret message. After that DNA matrix converted to QR (Quick Response) representation that offers a broad scope of practical usage. In addition, the paper provides an idea of choosing the optimal locations of the QR in order to obtain rightmost position. A new system based on the genetic algorithm has been developed. Finally, we embed the QR codes into the the most appropriate location by applying the HaarWavelet technique on the resulting DNA signals and LSB with assist of the GA in order to reduce the error between the cover image and the stego image. Experimental results have presented a high PSNR which indicate a high level of quality in stego image with high capacity.

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http://hdl.handle.net/10453/34184