Quantum-resilient security for cross-border healthcare data exchange
Shilpa C. Patildrshilpapatil22@gmail.comDepartment of Critical Care MedicineKrishna Institute of Medical SciencesKrishna Vishwa Vidyapeeth (Deemed to be University)Karad, Maharashtra, 415539, IndiaView full profile → , Veerendra Yadavveerendra.yadav@niu.edu.inDepartment of Computer Science & EngineeringNoida International UniversityGreater Noida, Uttar Pradesh, 201312, IndiaView full profile → , *Swati Shivkumar ShriyalCorresponding authorswati.shriyal@vupune.ac.inDepartment of Artificial IntelligenceVishwakarma UniversityPune, Maharashtra, 411048, IndiaView full profile → , Chittireddy Amarendar Reddyamarendar_vce1644@vardhaman.orgDepartment of Computer Science and Engineering (Artificial Intelligence & Machine Learning)Vardhaman College of EngineeringShamshabad, Hyderabad, Telangana, 501218, IndiaView full profile → , Prasanth Varasalaprasanthvarasala@outlook.comDepartment of Electronics & Communication EngineeringPragati Engineering CollegeKakinada, Andhra Pradesh, 533437, IndiaView full profile → , Vijay Suresh Karwandevijayskarwande@gmail.comDepartment of Computer EngineeringSandip Institute of Technology and Research CentreNashik, Maharashtra, 422213, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Mar 2026
- Published Online:
- 31 Oct 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2498
- Pages:
- 3731–3740
Abstract
As health information crosses from one healthcare domain or infrastructure to another, robust confidentiality, authentication, and integrity of the electronic medical records are crucial. This study aims to present a hybrid post-quantum encryption and authentication scheme for secure medical data exchange across the border using lattice-based encryption. The framework integrates a session-key establishment mechanism based on ML-KEM, AES-256-GCM for medical-data encryption, a digital signature scheme based on ML-DSA, integrity check based on hash function and identity-bound transaction metadata. It takes into account the mathematical security model involving key encapsulation, signature verification, adversarial advantage, communication overhead and processing cost. This shows that the proposed framework takes around 0.47ms for key encapsulation, 0.55ms for decapsulation and 0.94ms for digital signing, using simulation-based evaluation. The assumed end-to-end processing time is 83.91ms for a medical record of 50 MB, and the security related communication overhead falls off to about 0.011% when the size of the medical record increases. The results of the analysis show that quantum-resistant protection can be implemented with a moderate computational and communication overhead in cross-border healthcare settings.
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References
[1] B. Mohinder Singh and J. Natarajan, “A novel secure authentication protocol for eHealth records in cloud with a new key generation method and minimized key exchange,” J. King Saud Univ. Comput. Inf. Sci., vol. 35, no. 7, Art. no. 101629 (2023), doi: 10.1016/j.jksuci.2023.101629.
[2] M. Adeli, N. Bagheri, H. R. Maimani, S. Kumari, and J. J. P. C. Rodrigues, “A post-quantum compliant authentication scheme for IoT healthcare systems,” IEEE Internet Things J., vol. 11, no. 4, pp. 6111–6118 (Feb. 2024), doi: 10.1109/JIOT.2023.3309931.
[3] M. SaberiKamarposhti, K.-W. Ng, F.-F. Chua, J. Abdullah, M. Yadollahi, M. Moradi, and S. Ahmadpour, “Post-quantum healthcare: A roadmap for cybersecurity resilience in medical data,” Heliyon, vol. 10, no. 10, Art. no. e31406 (2024), doi: 10.1016/j.heliyon.2024.e31406.
[4] K. Mansoor, M. Afzal, W. Iqbal, Y. Abbas, S. Mussiraliyeva, and A. Chehri, “PQCAIE: Post quantum cryptographic authentication scheme for IoT-based e-health systems,” Internet Things, vol. 27, Art. no. 101228 (2024), doi: 10.1016/j.iot.2024.101228.
[5] A. N. E. Bahache, N. Chikouche, and S. Akleylek, “Securing cloud-based healthcare applications with a quantum-resistant authentication and key agreement framework,” Internet Things, vol. 26, Art. no. 101200 (2024), doi: 10.1016/j.iot.2024.101200.
[6] A. Ahmad and S. Jagatheswari, “Lattice-based three party authenticated key agreement scheme in medical IoT for post-quantum environment,” IEEE Access, vol. 12, pp. 157247–157259 (2024), doi: 10.1109/ACCESS.2024.3483971.
[7] T. Zhukabayeva, A. U. Rehman, N. Tariq, and E. Benkhelifa, “Hyperledger Fabric-based post quantum cryptography for healthcare application using discrete event simulation,” IEEE Access, vol. 12, pp. 192482–192493 (2024), doi: 10.1109/ACCESS.2024.3513153.
[8] L. Soni, H. Chandra, and D. S. Gupta, “Post-quantum attack resilience blockchain-assisted data authentication protocol for smart healthcare system,” Softw. Pract. Exp., vol. 54, no. 11, pp. 2170–2190 (Nov. 2024), doi: 10.1002/spe.3336.
[9] S. Alsubai, A. Alqahtani, H. Garg, M. Sha, and A. Gumaei, “A blockchain-based hybrid encryption technique with anti-quantum signature for securing electronic health records,” Complex Intell. Syst., vol. 10, pp. 6117–6141 (2024), doi: 10.1007/s40747-024-01477-1.
[10] S. Prajapat, G. Thakur, P. Kumar, A. K. Das, S. S. Jamal, and W. Susilo, “Designing lattice-enabled group authentication scheme based on post-quantum computing in healthcare applications,” Comput. Electr. Eng., vol. 123, Art. no. 110028 (2025), doi: 10.1016/j.compeleceng.2024.110028.
[11] C. Deshpande, C. Ramtirthkar, T. A. Wani, V. K. Bhosale, M. Gulhane, and K. S. Kumar, “Topology and knot theory applications in quantum field theory,” Journal of Interdisciplinary Mathematics, vol. 28, no. 6, pp. 2281–2287 (2025), doi: 10.47974/JIM-2370.




