A Substitute Method for Color Image Enciphering based on Cell Shuffling and Scan Pattern
Chandra Prakash Singar1, Jyoti Bharti2, R.K. Pateriya3
1Chandra Prakash Singar, Ph.d Schollar in Department of Computer Science and Engineering, MANIT Bhopal, India.
2Dr. Jyoti Bharti, Assistant Professor in Department of Computer Science and Engineering, MANIT Bhopal, India.
3Dr.R.K.Pateriy, Associate Professor in Department of Computer Science and Engineering, MANIT Bhopal, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5347-5354 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7566118419/2019©BEIESP | DOI: 10.35940/ijrte.D7566.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In today’s world, we use multimedia technologies in various daily applications to send vital information from one end to another side. However, security is a prime concern when data is sent over a public channel. There are various multimedia techniques to transfer data using sound, video, and images. However, these methods are not effective in security and performance. Therefore, we propose an advanced substitute method using cell shuffling and scanning methodology for image encryption. The suggested scheme contains two processes as (1) divide an image into many blocks, and then, its pixel position is rearranged, and (2) the scan pattern is applied to get a more complex image. After that, we do performance and security analysis for the proposed method using the correlation coefficient, information entropy, PSNR, MSE, SNR, number of pixels change rate, average intensity, and unified average change intensity.
Keywords: Scanning Technique, Image Encryption, Scan Pattern, Cell splitting, cell shuffling.
Scope of the Article: Data Mining Methods, Techniques, and Tools.