Secure cross-border medical data exchange using post-quantum cryptography
*Manish K. AssudaniCorresponding authormkasudani@gmail.comDepartment of Computer Science & EngineeringAnjuman College of Engineering & TechnologyNagpur, Maharashtra, 440022, IndiaView full profile → , Swati Shivkumar Shriyalswati.shriyal@vupune.ac.inDepartment of Artificial IntelligenceVishwakarma UniversityPune, Maharashtra, 411048, IndiaView full profile → , Prabhat Sharmaprabhat.sharma.orp@chitkara.edu.inCentre for Research Impact and OutcomeChitkara UniversityRajpura, Punjab, 140417, IndiaView full profile → , Nagireddy Mounikanagireddymounika.nm@proton.meCentre for Multidisciplinary ResearchAnurag UniversityHyderabad, Telangana, 500088, IndiaView full profile → , Samaksh Goyalsamaksha.law@quantumeducation.inQuantum University Research CenterQuantum UniversityRoorkee, Uttarakhand, 247667, IndiaView full profile → , Vipulkumar M. Dabhidean.tech@gokuluniversity.ac.inFaculty of EngineeringGokul Global UniversitySidhpur, Gujarat, 384151, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Apr 2026
- Published Online:
- 31 Oct 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-3019
- Pages:
- 3913–3924
Abstract
The privacy threat, cross-border regulatory differences, and emerging quantum threat are critical challenges to secure cross-border medical data exchange. The present paper suggests a post-quantum cryptography scheme based on lattice-based schemes (LWE, Ring-LWE, Module-LWE) and code-based schemes (McEliece) in order to provide long-term security. The aim is to come up with a robust architecture that ensures confidentiality, integrity and interoperability among global healthcare systems. The implementation combines hybrid-encryption, key-encapsulation schemes, and quantum-resistant, quantum-digital signatures along with secure data transmission protocols. Experimental results demonstrate an improvement in the attack resistance of 53.04 percent and a decrease in the probability of data breach by 85.19 percent over classical cryptographic systems with a reasonable computational overhead (17.94 percent increase). The framework is resistant to algorithmic threats by Shor and Grover. The research finds that future-proof medical data exchange is imperative and can be achieved with post-quantum solutions that proposed scalable and secure interoperability of healthcare across the globe.
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References
[1] R. Zhou, H. Guo, and F. E. C. Teo, “Investigating post-quantum cryptography to secure transmitted data via mobile communication,” Electronics, vol. 15, no. 6, Art. no. 1275 (2026), doi: 10.3390/electronics15061275.
[2] S. T. Ahmed, D. A. Hammood, R. F. Chisab, A. Al-Naji, and J. Chahl, “Medical image encryption: A comprehensive review,” Computers, vol. 12, no. 8, Art. no. 160 (2023), doi: 10.3390/computers12080160.
[3] Z.-Y. Wu and C.-H. Liu, “Post-quantum Crystal-Kyber group-oriented encryption scheme for cloud security in personal health records,” Engineering Proceedings, vol. 103, no. 1, Art. no. 6 (2025), doi: 10.3390/engproc2025103006.
[4] P. Devaraj, S. A. Chaman Basha, N. N. Panarkuzhiyil Santhosh, and N. Panda, “A post-quantum secure architecture for 6G-enabled smart hospitals: A multi-layered cryptographic framework,” Future Internet, vol. 18, no. 3, Art. no. 165 (2026), doi: 10.3390/fi18030165.
[5] C. S. Kumar and A. P. Singh, “A blockchain-based auction framework for sustainable waste management: Utilizing non-fungible tokens (NFT) and zero knowledge proofs (ZKPs) for enhanced authentication,” Journal of Information and Optimization Sciences, vol. 46, no. 6, pp. 1891–1899 (2025), doi: 10.47974/JIOS-2018.
[6] Z.-Y. Liang, G.-Y. Liu, Y. Ren, M. Yang, R.-W. Jiang, Y. Luo, and Y.-S. Ma, “Trustworthy data space collaborative trust mechanism driven by blockchain: Technology integration, cross-border governance, and standardization path,” Information, vol. 16, no. 12, Art. no. 1066 (2025), doi: 10.3390/info16121066.
[7] R. Qureshi and I. Koo, “A comprehensive survey of cybersecurity threats and data privacy issues in healthcare systems,” Applied Sciences, vol. 16, no. 3, Art. no. 1511 (2026), doi: 10.3390/app16031511.
[8] M. H. Noorallahzadeh and R. Alimoradi, “A new bilinear pairing-based searchable encryption scheme,” Journal of Information and Optimization Sciences, vol. 47, no. 4, pp. 1377–1396 (2026), doi: 10.47974/JIOS-1607.
[9] M. Shaikh, S. A. Memon, A. Ebrahimi, and U. K. Wiil, “A systematic literature review for blockchain-based healthcare implementations,” Healthcare, vol. 13, no. 9, Art. no. 1087 (2025), doi: 10.3390/healthcare13091087.
[10] S.-Y. Chang and Q. Khan, “Post-quantum cryptography in networking protocols: Challenges, solutions, and future directions,” Cryptography, vol. 10, no. 1, Art. no. 12 (2026), doi: 10.3390/cryptography10010012.
[11] P. Churi, A. Pawar, and A.-J. Moreno-Guerrero, “A comprehensive survey on data utility and privacy: Taking Indian healthcare system as a potential case study,” Inventions, vol. 6, no. 3, Art. no. 45 (2021), doi: 10.3390/inventions6030045.
[12] H.-Y. Chen, Z.-Y. Wu, T.-L. Chen, Y.-M. Huang, and C.-H. Liu, “Security privacy and policy for cryptographic based electronic medical information system,” Sensors, vol. 21, no. 3, Art. no. 713 (2021), doi: 10.3390/s21030713.
[13] R. C. Poonia, R. Almakki, A. K. J. Saudagar, A. Altameem, and M. Albathan, “An optimization approach for real-time object detection in IoT devices through edge computing and deep learning,” Journal of Information and Optimization Sciences, vol. 45, no. 5, pp. 1465–1475 (2024), doi: 10.47974/JIOS-1768.
