Elevating Medical Image Security: A Cryptographic Framework Integrating Hyperchaotic Map and GRU

Fuente: arXiv
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Hauptverfasser: Li, Weixuan, Yu, Guang, Li, Quanjun, Zhou, Junhua, Chen, Jiajun, Dong, Yihang, Wang, Mengqian, Li, Zimeng, Gong, Changwei, Tang, Lin, Chen, Xuhang
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Veröffentlicht: 2025
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author Li, Weixuan
Yu, Guang
Li, Quanjun
Zhou, Junhua
Chen, Jiajun
Dong, Yihang
Wang, Mengqian
Li, Zimeng
Gong, Changwei
Tang, Lin
Chen, Xuhang
author_facet Li, Weixuan
Yu, Guang
Li, Quanjun
Zhou, Junhua
Chen, Jiajun
Dong, Yihang
Wang, Mengqian
Li, Zimeng
Gong, Changwei
Tang, Lin
Chen, Xuhang
contents Chaotic systems play a key role in modern image encryption due to their sensitivity to initial conditions, ergodicity, and complex dynamics. However, many existing chaos-based encryption methods suffer from vulnerabilities, such as inadequate permutation and diffusion, and suboptimal pseudorandom properties. This paper presents Kun-IE, a novel encryption framework designed to address these issues. The framework features two key contributions: the development of the 2D Sin-Cos Pi Hyperchaotic Map (2D-SCPHM), which offers a broader chaotic range and superior pseudorandom sequence generation, and the introduction of Kun-SCAN, a novel permutation strategy that significantly reduces pixel correlations, enhancing resistance to statistical attacks. Kun-IE is flexible and supports encryption for images of any size. Experimental results and security analyses demonstrate its robustness against various cryptanalytic attacks, making it a strong solution for secure image communication. The code is available at this \href{https://github.com/QuincyQAQ/Elevating-Medical-Image-Security-A-Cryptographic-Framework-Integrating-Hyperchaotic-Map-and-GRU}{link}.
format Preprint
id arxiv_https___arxiv_org_abs_2510_12084
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Elevating Medical Image Security: A Cryptographic Framework Integrating Hyperchaotic Map and GRU
Li, Weixuan
Yu, Guang
Li, Quanjun
Zhou, Junhua
Chen, Jiajun
Dong, Yihang
Wang, Mengqian
Li, Zimeng
Gong, Changwei
Tang, Lin
Chen, Xuhang
Cryptography and Security
Chaotic systems play a key role in modern image encryption due to their sensitivity to initial conditions, ergodicity, and complex dynamics. However, many existing chaos-based encryption methods suffer from vulnerabilities, such as inadequate permutation and diffusion, and suboptimal pseudorandom properties. This paper presents Kun-IE, a novel encryption framework designed to address these issues. The framework features two key contributions: the development of the 2D Sin-Cos Pi Hyperchaotic Map (2D-SCPHM), which offers a broader chaotic range and superior pseudorandom sequence generation, and the introduction of Kun-SCAN, a novel permutation strategy that significantly reduces pixel correlations, enhancing resistance to statistical attacks. Kun-IE is flexible and supports encryption for images of any size. Experimental results and security analyses demonstrate its robustness against various cryptanalytic attacks, making it a strong solution for secure image communication. The code is available at this \href{https://github.com/QuincyQAQ/Elevating-Medical-Image-Security-A-Cryptographic-Framework-Integrating-Hyperchaotic-Map-and-GRU}{link}.
title Elevating Medical Image Security: A Cryptographic Framework Integrating Hyperchaotic Map and GRU
topic Cryptography and Security
url https://arxiv.org/abs/2510.12084