Novel medical image cryptogram technology based on segmentation and DNA encoding-Reference-Cited by-同舟云学术

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Novel medical image cryptogram technology based on segmentation and DNA encoding

Published:2023-02-17 Issue:18 Volume:82 Page:27593-27613
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Xie Hong-wei,Zhang Yu-zhou,Zhang Hao,Li Zhen-yu

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14546-3.pdf

Reference32 articles.

1. Adleman LM (1994) Molecular computation of solutions to combinatorial problems. Science 266:1021–1024

2. Chai X, Chen Y, Broyde L (2017) A novel chaos-based image encryption algorithm using DNA sequence operations. Opt Lasers Eng 88:197–213

3. Chai X, Gan Z, Yuan K, Chen Y, Liu X (2017) A novel image encryption scheme based on DNA sequence operations and chaotic systems. Neural Comput & Applic 31(1):219–237

4. Dai Y, Wang H, Wang Y (2016) Chaotic medical image encryption algorithm based on bit-plane decomposition. Int J Pattern Recognit Artif Intell 30(04):1657001

5. Deb S, Bhuyan B (2021) Chaos-based medical image encryption scheme using special nonlinear filtering function based LFSR. Multimed Tools Appl 80(13):19803–19826

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1. Enhancing image data security using the APFB model;Connection Science;2024-07-18

2. A Novel Color Image Encryption using DNA Code and Dual Memristor Hyperchaotic System;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

3. A Comprehensive Study on Various Encryption Techniques for Digital Images in Multimedia Networks;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

4. A Comprehensive Exploration of Cryptographic Solutions for Securing Medical Images;Lecture Notes in Networks and Systems;2024

5. Image encryption of medical images;Advances in Computers;2024

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