International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 16, No. 6, 8 Dec. 2024
Cover page and Table of Contents: PDF (size: 1143KB)
A Novel GAN with DNA Sequences and Hash-based Approach for Improving Medical Image Security
PDF (1143KB), PP.72-86
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Author(s)
Anita Murmu
1,*
Piyush Kumar
1
Index Terms
GAN, Chaotic map, Security, Hash-map, Cryptography, Key generation
Abstract
Medical imaging is a field of medicine where doctors use images of different body organs to treat or diagnose patients. Nowadays, medical image segmentation, compression, and security are currently relatively difficult issues for illness diagnosis. These medical pictures are being sent via the internet; thus data must be protected against cyberattacks. Medical images are extremely sensitive to even slight changes, and data volumes are dramatically increasing the amount of the data. To protect the confidentiality of digital images saved online, privacy and security must be ensured. In this paper, a novel DL-based Generative Adversarial Network (GAN) with tent map and hash-map utilized to generate a robust private key. The fake image is generated by using GAN. T It is suggested to use the 2D-Henon Sine Map (2D-HSM), DNA computing, chaotic maps, and a SHA-512-based strategy are proposed. The SHA-512 algorithm and the 2D-HSM are used to construct the key. The Henon map and the Mersenne Twister are used in a two-level encryption method that is shown (MT). After that, a DNA computing-based XOR operation is performed using the key. A decoding procedure based on DNA rules captures the encoded images. The comprehensive outcome is based on several security measures, such as key space, SSIM, information entropy, PSNR, and histogram analysis. The proposed technique performs better than the existing approaches.
Cite This Paper
Anita Murmu, Piyush Kumar, "A Novel GAN with DNA Sequences and Hash-based Approach for Improving Medical Image Security", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.16, No.6, pp. 72-86, 2024. DOI:10.5815/ijigsp.2024.06.06
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