International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Advanced Chaotic Asymmetric Cryptosystems for Securing Medical Imaging Data

M.Sri Lakshmi PreethiAssistant Professor, Department of Computer Science and Engineering and Cyber Security (UG), Madanapalle Institute of Technology & Science (Autonomous), Madanapalle, IndiaS.Venkata LokeshUG Scholar, Department of Computer Science and Engineering and Cyber Security (UG), Madanapalle Institute of Technology & Science (Autonomous), Madanapalle, IndiaB.Ganeshwar ReddyUG Scholar, Department of Computer Science and Engineering and Cyber Security (UG), Madanapalle Institute of Technology & Science (Autonomous), Madanapalle, India

Vol 9 No 2025 (2025): Volume 9, Special Issue of ICCIS-2025 May 2025 | Pages: 40-47

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 11-06-2025

doi Logo doi.org/10.47001/IRJIET/2025.ICCIS-202506

pdf iconFull Text PDF
Abstract

The growing use of medical imaging with an increased level of digitization poses concerns over data security, where strong encryption methods are required. This work envisions a secure system for medical image encryption utilizing a chaotic asymmetric cryptosystem to protect sensitive healthcare information. The solution combines chaos theory and asymmetric encryption by utilizing chaotic maps to produce highly unpredictable keys, increasing encryption complexity and security. The system provides confidentiality and integrity while storing and transmitting the data, which restricts unauthorized access. Developed in MATLAB, the cryptosystem is highly sensitive to initial conditions, has effective key management, and is robustly encrypted. Performance analysis using entropy analysis, correlation coefficient, and key sensitivity proves resistance to crypto attacks. The system is scalable, effective, and flexible enough to accommodate different medical imaging modalities, responding to the increased demand for secure medical data transfer in contemporary health applications.

Keywords

Medical Image Encryption, Chaotic Maps, Asymmetric Cryptosystem, Data Security, MATLAB, Key Sensitivity, Cryptographic Attacks


Citation of this Article

M.Sri Lakshmi Preethi (Ph. D), S.Venkata Lokesh, & B.Ganeshwar Reddy. (2025). Advanced Chaotic Asymmetric Cryptosystems for Securing Medical Imaging Data. In proceeding of Second International Conference on Computing and Intelligent Systems (ICCIS-2025), published in IRJIET, Volume 9, Special Issue ICCIS-2025, pp 40-47. Article DOI https://doi.org/10.47001/IRJIET/2025.ICCIS-202506

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
  1. R. Jayabal, S. Priya, S. S and C. Manikandan, "Enhancing Secure Medical Image Transmission Using Visually Meaningful Medical Image Encryption," 2024 International Conference on Computational Intelligence and Network Systems (CINS), Dubai, United Arab Emirates, 2024, pp. 1-6, doi: 10.1109/CINS63881.2024.10862990.
  2. P. K. and V. Jaitly, "Securing Medical Images using Compression techniques with encryption and Image Steganography," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-7, doi: 10.1109/CONIT59222.2023.10205855.
  3. G. Morankar, U. Pacharaney and P. Shahane, "Robust, Lossless and Parallel Medical Image Encryption Scheme," 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, 2024, pp. 1-4, doi: 10.1109/ICAECT60202.2024.10469305.
  4. K. H. Al-Khafaji and H. A. Sahib, "Designing a Digital System for Enhancing, Coloring, Encryption and Decryption of X-ray Medical Image," 2024 15th International Conference on Information and Communication Systems (ICICS), Irbid, Jordan, 2024, pp. 1-6, doi: 10.1109/ICICS63486.2024.10638292.
  5. Huang-Guo, Z. Weipeng, C. Lisha and L. Ermin, "Medical Image Encryption Algorithm Based on Improved Logistic Chaotic System and 3D Space," 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), Chongqing, China, 2023, pp. 669-674, doi: 10.1109/ICIBA56860.2023.10165522.
  6. P. Saraswat, S. Chaudhari and J. Kundale, "Fractional Discrete Cosine Transform and Chaotic Based Encryption for Medical Image Security," 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), Pune, India, 2024, pp. 1-6, doi: 10.1109/ICBDS61829.2024.10837104.
  7. P. K, M. G, S. Shetty, S. R, K. Puttegowda and B. Kumara, "Multiple Chaotic Map Based Selective Image Encryption Scheme for Medical Images," 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS), Kalaburagi, India, 2024, pp. 1-5, doi: 10.1109/ICIICS63763.2024.10860093.
  8. Z. Zhuang and Z. Zhuang, "A Novel Five-Dimensional Chaotic System for Medical Image Encryption with X-Axis Projection," 2024 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), Wuhan, China, 2024, pp. 25-32, doi: 10.1109/IIoTBDSC64371.2024.00015.
  9. Y. Peng, S. Zhao, L. Kang and Y. Li, "Optimization of Encryption Efficiency for Nutritional Medical Image Data in High Concurrency Environments," 2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA), Shenyang, China, 2024, pp. 146-149, doi: 10.1109/ICIPCA61593.2024.10709306.
  10. E. Zhu, H. Feng, L. Chen, Y. Lai and S. Chai, "MP-Net: A Multi-Center Privacy-Preserving Network for Medical Image Segmentation," in IEEE Transactions on Medical Imaging, vol. 43, no. 7, pp. 2718-2729, July 2024, doi: 10.1109/TMI.2024.3377248.
  11. S. Ibrahim, A. M. Abbas, A. A. Alharbi and M. A. Albahar, "A New 12-Bit Chaotic Image Encryption Scheme Using a 12 × 12 Dynamic S-Box," in IEEE Access, vol. 12, pp. 37631-37642, 2024, doi: 10.1109/ACCESS.2024.3374218.
  12. M. K, J. J, K. K, M. G, V. S. R and S. B, "Secure Medical Image Encryption Using Homomorphic Techniques," 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India, 2024, pp. 1-6, doi: 10.1109/ICAIT61638.2024.10690754.
  13. A.A. Siam, M. M. Hassan and T. Bhuiyan, "Secure Medical Imaging: A DICOM to JPEG 2000 Conversion Algorithm with Integrated Encryption," 2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC), Houston, TX, USA, 2025, pp. 1-6, doi: 10.1109/ICAIC63015.2025.10848861.
  14. B. Long, Z. Chen, T. Liu, X. Wu, C. He and L. Wang, "A Novel Medical Image Encryption Scheme Based on Deep Learning Feature Encoding and Decoding," in IEEE Access, vol. 12, pp. 38382-38398, 2024, doi: 10.1109/ACCESS.2024.3371888.
  15. Z. -C. Fan, D. Li and S. Rahardja, "A Novel Discrete Fractional Complex Hadamard Transform for Medical Image Encryption," ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 2126-2130, doi: 10.1109/ICASSP48485.2024.10446992.
  16. M. Ayyavoo and V. Guruviah, "Research on Medical Image Segmentation and Encryption Using GAN," 2023 International Conference on Data Science and Network Security (ICDSNS), Tiptur, India, 2023, pp. 1-8, doi: 10.1109/ICDSNS58469.2023.10245429.
  17. A.Basak, S. Mandal, P. Das and M. Kumari, "Medical Image Cryptosystem using Hyperchaotic Sequence and Scrambling Operations with Sequential Cell-division," 2024 12th International Conference on Internet of Everything, Microwave, Embedded, Communication and Networks (IEMECON), Jaipur, India, 2024, pp. 1-6, doi: 10.1109/IEMECON62401.2024.10846598.
  18. M. Demirtaş and S. Altunkaya, "Medical Image Encryption based on Tangent Transform-based Sine-Chebyshev Map," 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS), İstanbul, Turkiye, 2024, pp. 1-7, doi: 10.1109/ISAS64331.2024.10845249.
  19. D. El-Damak, W. Alexan, E. Mamdouh, M. El-Aasser, A. Fathy and M. Gabr, "Fibonacci Q-Matrix, Hyperchaos, and Galois Field (2⁸) for Augmented Medical Image Encryption," in IEEE Access, vol. 12, pp. 102718-102744, 2024, doi: 10.1109/ACCESS.2024.3433499.
  20. M. Shanavaz, G. C. S. Manikanta, M. Gnanaprasoona, K. S. Kishore, R. Karthikeyan and M. A. Jabbar, "Towards Efficient Encrypted Medical Image Retrieval from Heterogeneous Multi Cloud Environment," 2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE), Bangalore, India, 2024, pp. 143-147, doi: 10.1109/ICWITE59797.2024.10502443.

Copyright @ 2026 IRJIET. All Right Reserved.

Licensed underCreative Commons Attribution 4.0 International License.