A Parallel Processing Technique Based on GMO and BCS for Medical Image Encryption
Vineet Kumar Singh1, Piyush Kumar Singh2, K.N. Rai3

1Vineet Kumar Singh*, DST-CIMS, Institute of Science, BHU, Varanasi.
2P. K. Singh, Deptt. of C.S., Central University of South Bihar, Gaya.
3Kabindra Nath Rai, Dept. of Mathematical Sciences, IIT-BHU, Varanasi.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 3418-3427 | Volume-9 Issue-3, January 2020. | Retrieval Number: C9044019320/2020©BEIESP | DOI: 10.35940/ijitee.C9044.019320
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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: Image encryption is a technique that provides security to an image and their data from unauthorized access in which there is the lightweight process (LWP) that can be parallelized resulting in the reduction of computation time. In this paper, parallel lossless image encryption, as well as the decryption technique, is proposed. The method is a parallel implementation of group modulo operation (GMO) based bit circular shift (BCS) of pixel bit-plane values. The backbone of this technique is circular bit rotation based on some modulo group key value. The key value used here is the result of group modulo operation. The binary bit values of pixels of the initial Image are rotated circularly to generate a new binary bit value of pixels encrypted image. The enhancement of this GMO and BCS based encryption are also given here by using the parallel implementation of the algorithm. The given results show the parallel implementation technique has the same level of encryption standard but has a better level of the time standard. As discussed in the result section, this technique can be used for medical image encryption as well as in multimedia applications where the transfer of image data is required over a network. 
Keywords: Parallel Computing, Medical Image Processing, Group Modulo Operation (GMO), Bit Circular Shift (BCS), Image Encryption-Decryption.
Scope of the Article:  Image analysis and Processing