A Parallel Processing Technique Based on GMO and BCS for Medical Image Encryption

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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.

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Singh*, V. K., Singh, P. K., & Nath Rai, K. (2020). A Parallel Processing Technique Based on GMO and BCS for Medical Image Encryption. International Journal of Innovative Technology and Exploring Engineering, 9(3), 3418–3427. https://doi.org/10.35940/ijitee.c9044.019320

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