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Articles

Encryption-based steganography of images by multiobjective whale optimal pixel selection

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Pages 1140-1149 | Received 23 Jul 2019, Accepted 06 Nov 2019, Published online: 21 Nov 2019
 

ABSTRACT

Information security involves hiding secret images, text, audio or video files within any other files that can be used to preserve the secret data from being theft by the third party. Recent works of the literature in steganography have the threat of secret information being retrieved by an anonymous user. Some techniques do not support some image formats for embedding. To overcome the disadvantages associated with the existing algorithms, we proposed encryption-based steganography. Encryption algorithms play vital roles to protect original data from unauthorized access. In this paper, the cover image is separated into RGB components separately. Multilevel discrete wavelet transform (DWT) transformation is applied over the transformed image components. Optimal pixels are selected using Multiobjective Whale Optimization. The secret image is split into RGB components. Encryption using Data Encryption Standard, Advanced Encryption Standard and Signcryption algorithms is performed over R, G and B separated components, respectively. The encrypted image is embedded into the selected pixel point of cover image. Inverse DWT is applied to retrieve the stego image. The results are analyzed to prove low error rate with high secured secret image.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Ambika

Ambika received the Bachelor of Engineering degree from the University of Visvesvaraya Technological University, Belagavi, in 2011, the M. Tech degree from the University of Visvesvaraya Technological University, Belagavi in 2014, and pursuing the Ph.D. degree from the University of Visvesvaraya Technological University, Belagavi. From 2011 to 2012, she worked as a lecturer in Department of Computer Science & Engineering, Appa Institute of Engineering & Technology, Kalaburagi. she is currently working as an Assistant Professor in the Department of Computer Science & Engineering, Appa Institute of Engineering & Technology, Kalaburagi. Her research interests are in digital image processing, multimedia computing, and cryptography.

Rajkumar L. Biradar

Dr Rajkumar L. Biradar received the B.E. degree from the University of Gulbarga, Karnataka, India, in 2001, the M. Tech degree from the VTU, Belgaum, Karnataka, India, in 2004, and the Ph.D. degree from VTU, Belgaum, Karnataka, India, in 2014. From 2007 to 2016, he worked as an Associate Professor in ETM Dept., GNITS, Hyderabad, India. He is currently working as Professor in ETM Dept., GNITS, Hyderabad, India. His research interests are in wireless communication, signal and image processing. Received best paper award in two international conferences. Published 29 journal papers in SCI & peer-reviewed journals and five papers in international conferences.

Vishwanath Burkpalli

Dr Vishwanath Burkpalli received his Ph.D. degree from VTU, Belgaum, Karnataka, India. He is working as Professor in Poojya Doddappa College of Engineering Kalaburagi, Karnataka, INDIA. His research area of interest are Image Processing, Pattern Recognition. He has total experience of 13 years in which 8 years were dedicated to research and development. He has published many papers in various national and international journals.

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