{"ID":2855504,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.12084","arxiv_id":"2510.12084","title":"Elevating Medical Image Security: A Cryptographic Framework Integrating Hyperchaotic Map and GRU","abstract":"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}.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2510.12084","url_pdf":"https://arxiv.org/pdf/2510.12084v1","authors":"[\"Weixuan Li\",\"Guang Yu\",\"Quanjun Li\",\"Junhua Zhou\",\"Jiajun Chen\",\"Yihang Dong\",\"Mengqian Wang\",\"Zimeng Li\",\"Changwei Gong\",\"Lin Tang\",\"Xuhang Chen\"]","published":"2025-10-14T02:48:07Z","proceeding":"cs.CR","tasks":"[\"cs.CR\"]","methods":"[\"Diffusion Model\"]","has_code":false,"code_links":[{"ID":608255,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2855504,"paper_url":"https://arxiv.org/abs/2510.12084","paper_title":"Elevating Medical Image Security: A Cryptographic Framework Integrating Hyperchaotic Map and GRU","repo_url":"https://github.com/QuincyQAQ/Elevating-Medical-Image-Security-A-Cryptographic-Framework-Integrating-Hyperchaotic-Map-and-GRU","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}